The document compares and contrasts autonomous vehicles and connected vehicles. It provides details on:
- The history and development of autonomous vehicles, including technical challenges and levels of autonomy. Autonomous vehicles use sensors and computer systems to drive themselves without human input.
- The history and types of connectivity for connected vehicles. Connected vehicles are equipped with internet access and wireless networks, allowing them to share data with devices inside and outside the vehicle. This includes vehicle-to-infrastructure, vehicle-to-vehicle, and vehicle-to-cloud connections.
- The testing and applications of autonomous vehicles, including use for transportation systems and trucks. Connected vehicle hardware options are also discussed.
In summary, the document
This document discusses the EU's regulatory and policy actions around automated and connected vehicles. It defines different levels of vehicle automation from driver assistance to fully autonomous. The EU is working to address challenges around legal frameworks, infrastructure, data, and liability. The GEAR 2030 initiative aims to develop a roadmap for deploying automated vehicles by 2030. Recommendations will focus on systems reaching level 3-4 automation by 2020 related to motorways and traffic. The existing regulatory framework is being reviewed to address issues like road safety, liability, data storage, and connectivity requirements. International cooperation is also occurring to harmonize regulations and research efforts.
Automatic parking and platooning for electric vehicles redistribution in a ca...IOSR Journals
This document describes a system for automatically redistributing electric vehicles between parking stations in a car sharing application. A leader vehicle driven by a human picks up and drops off other vehicles at stations to rebalance availability. The other vehicles can automatically exit parking spaces and join a platoon led by the leader vehicle for transport. An exit parking controller is presented that plans a collision-free path for a vehicle to exit a space in one or multiple maneuvers based on its geometry. Vehicles then follow the leader vehicle longitudinally and laterally in the platoon using control strategies. Perception systems allow vehicles to detect obstacles and other vehicles for safe autonomous maneuvers. The system aims to efficiently relocate vehicles between stations for car sharing applications.
The document discusses testing of eleven Nissan Hypermini urban electric vehicles deployed in fleets in the cities of Vacaville and Palm Springs, California between 2001-2005. It finds that the vehicles were driven a combined total of 41,220 miles over 439 months. There were some early technical issues but repairs were covered by warranty. Drivers ultimately preferred the Hyperminis over traditional vehicles once accustomed to differences like right-side steering. The vehicles attracted public interest.
autonomous car, self driving car, presentation on google driving car, sensor used in car , future car, four wheeler car , colloquium, mechanical engineering, engineering technology ,b.tech, automotive engineering, california based car, self control car
A modern vehicle navigation system aggregates data from onboard sensors like GPS and determines the vehicle's exact location even without satellite signals. It allows navigation in situations where mobile devices do not work, like tunnels. Navigation systems have evolved from proprietary databases in 2007 to using open standards-based data in 2019 with 3D maps including height and satellite imagery. They also dynamically update maps and provide real-time traffic and weather info. The AUTOSAR standard separates vehicle software from hardware, allowing reuse and flexibility while improving safety and efficiency. It is supported by a large automotive industry partnership network.
The document discusses autonomous vehicles and their components. It notes that autonomous vehicles can drive themselves without human assistance using sensors like LIDAR, radar, cameras and ultrasonic sensors connected to a central CPU. The document provides a brief history of autonomous vehicles, outlines the hardware components and their functions. It also discusses some of the work done on autonomous vehicles between 2012-2020, and lists potential advantages like reduced accidents and disadvantages like hacking risks.
This document discusses the EU's regulatory and policy actions around automated and connected vehicles. It defines different levels of vehicle automation from driver assistance to fully autonomous. The EU is working to address challenges around legal frameworks, infrastructure, data, and liability. The GEAR 2030 initiative aims to develop a roadmap for deploying automated vehicles by 2030. Recommendations will focus on systems reaching level 3-4 automation by 2020 related to motorways and traffic. The existing regulatory framework is being reviewed to address issues like road safety, liability, data storage, and connectivity requirements. International cooperation is also occurring to harmonize regulations and research efforts.
Automatic parking and platooning for electric vehicles redistribution in a ca...IOSR Journals
This document describes a system for automatically redistributing electric vehicles between parking stations in a car sharing application. A leader vehicle driven by a human picks up and drops off other vehicles at stations to rebalance availability. The other vehicles can automatically exit parking spaces and join a platoon led by the leader vehicle for transport. An exit parking controller is presented that plans a collision-free path for a vehicle to exit a space in one or multiple maneuvers based on its geometry. Vehicles then follow the leader vehicle longitudinally and laterally in the platoon using control strategies. Perception systems allow vehicles to detect obstacles and other vehicles for safe autonomous maneuvers. The system aims to efficiently relocate vehicles between stations for car sharing applications.
The document discusses testing of eleven Nissan Hypermini urban electric vehicles deployed in fleets in the cities of Vacaville and Palm Springs, California between 2001-2005. It finds that the vehicles were driven a combined total of 41,220 miles over 439 months. There were some early technical issues but repairs were covered by warranty. Drivers ultimately preferred the Hyperminis over traditional vehicles once accustomed to differences like right-side steering. The vehicles attracted public interest.
autonomous car, self driving car, presentation on google driving car, sensor used in car , future car, four wheeler car , colloquium, mechanical engineering, engineering technology ,b.tech, automotive engineering, california based car, self control car
A modern vehicle navigation system aggregates data from onboard sensors like GPS and determines the vehicle's exact location even without satellite signals. It allows navigation in situations where mobile devices do not work, like tunnels. Navigation systems have evolved from proprietary databases in 2007 to using open standards-based data in 2019 with 3D maps including height and satellite imagery. They also dynamically update maps and provide real-time traffic and weather info. The AUTOSAR standard separates vehicle software from hardware, allowing reuse and flexibility while improving safety and efficiency. It is supported by a large automotive industry partnership network.
The document discusses autonomous vehicles and their components. It notes that autonomous vehicles can drive themselves without human assistance using sensors like LIDAR, radar, cameras and ultrasonic sensors connected to a central CPU. The document provides a brief history of autonomous vehicles, outlines the hardware components and their functions. It also discusses some of the work done on autonomous vehicles between 2012-2020, and lists potential advantages like reduced accidents and disadvantages like hacking risks.
وبینار آینده ایمنی حمل و نقل
Richard Cuerden, Chief Scientist (Engineering & Technology), TRL
http://transportsafety.ir
حمید مرادی
Hamid Moradi
http://transportsafety.ir/category/vehicle-safety
Indian Railways Safety Plan Investment Strategy Safety Environment 1233484425...guestcaceba
Indian Railways has created a special safety fund to replace overaged assets like tracks, bridges and rolling stock within 6 years. The safety plan focuses on five areas - personnel, management, methods, machines and money. Modern training aids for personnel and new technologies like anti-collision devices are being implemented to improve safety while reducing human errors. The plan aims to enhance safety and productivity through targeted investment in critical infrastructure.
Indian Railways Safety Plan Investment Strategy Safety Environment 1233484425...guestfa9236
Indian Railways has created a special safety fund to replace overaged assets like tracks, bridges and rolling stock within 6 years. The safety plan focuses on five areas - personnel, management, methods, machines and money. Modern training aids for personnel and new technologies like anti-collision devices are being implemented to improve safety while reducing human errors. The plan aims to enhance safety and productivity through targeted investment in critical infrastructure.
The document discusses autonomous vehicles and their key features. It describes how autonomous cars use sensors and advanced systems like intelligent cruise control, collision avoidance, lane support and night vision to drive themselves. These systems allow the cars to maintain speed and distance from other vehicles, detect lanes and traffic lights, and park without human assistance. While autonomous vehicles could reduce accidents and increase road capacity, challenges remain around system failures, hacking risks and high costs.
This document discusses the development of next generation trailer electrical architectures and tractor-trailer interfaces. It notes that current architectures are inadequate and companies are offering solutions. It outlines the objectives to create backward-compatible, future-looking definitions for tractor-trailer connections by March 2022 to improve safety, enable autonomous operation, and enhance diagnostics. Solution providers will present on areas like brakes, lighting, telematics, wheels and tires. Considerations include connectors, cables, secure wireless and wired technologies. A memorandum of understanding is proposed between stakeholders to develop non-proprietary, globally compatible standards.
Driverless Vehicles: Future Outlook on Intelligent TransportationIJERA Editor
Numerous technologies have been deployed to assist and manage transportation .But recent concerted efforts in academia andindustry point to a paradigm shift in intelligent transportation systems. Vehicles will carry computing and communication platforms,and will have enhanced sensing capabilities .They will enable new versatile systemsthat enhance transportation efficiency. This article surveys the sate-of-art approaches towards the future outlook on intelligent transportation. Current capabilities as well as limitations and opportunities of key enabling technologies are reviewed along with details of numerous notable projects that have been done around the world. Finally report also reviews the legal and regulatory uncertainties.
IRJET- Intelligent Traffic System in Indore, Madhya Pradesh, IndiaIRJET Journal
This document discusses implementing an intelligent transportation system (ITS) in Indore, Madhya Pradesh, India to address traffic issues. It provides background on ITS and its applications including traveler information systems, traffic management, and commercial vehicles. ITS has been implemented in various countries with varying degrees of success. While some ITS technologies have been introduced in India, full implementation faces challenges of infrastructure, funding, urban growth, and public acceptance. The document proposes improving ITS in Indore through digital traffic management, vehicle communication networks, advanced driver assistance, traffic enforcement cameras, and traveler information systems to reduce congestion and accidents.
The McMaster Engineering EcoCAR 3 Team is a university student team competing in EcoCAR 3, a competition sponsored by the US Department of Energy and GM that tasks teams with converting a Chevrolet Camaro into a high-performance plug-in hybrid electric vehicle. The team aims to build on McMaster's reputation for developing sustainable vehicle technologies. They have designed the E/28 Camaro hybrid, which produces 600HP but gets 42MPG, to challenge perceptions that hybrids cannot be high-powered or fun to drive. The team has experienced success in the competition's first two years, winning several awards for their modeling, innovation, and systems work.
Self driving cars are the future and we must be ready for it whether we like it or not.
This ppt covers self driving cars and the latest technology used in them
This document discusses the potential economic impact and job creation opportunities of emerging autonomous technologies like unmanned aircraft systems. It notes that Maryland is well-positioned in fields like bio-medical, cybersecurity, and unmanned aircraft systems. The integration of UAS into the national airspace could create over 100,000 new jobs by 2025, including over 2,500 jobs and $2 billion economic impact for Maryland alone. Academic and industry partnerships will be critical to developing the workforce needed to capitalize on these opportunities.
- E-Ricks have proliferated in Delhi without regulation, with over 100,000 operating.
- A survey found most operate in western and eastern Delhi, using outdated lead-acid batteries charged illegally at homes.
- Recommendations include registering E-Ricks under the motor vehicle act, requiring driver's licenses, setting standards for battery disposal and charging infrastructure, and incentivizing lithium-ion batteries.
The document presents information on autonomous or self-driving cars. It discusses the concept of autonomous vehicles that can sense their environment and navigate without human input. It outlines the equipment used in autonomous cars, including LIDAR, radar, cameras and GPS. It describes how these sensors work together with an electronic control unit and software to process information and control actuators that move the steering wheel, brakes and throttle. The document also covers some advantages and disadvantages of autonomous vehicles.
Manuscript next generation advanced driver assistance systems towards the pro...Ilona Anna Cieslik
This document summarizes a research project called PROSPECT that aims to improve active safety systems for protecting vulnerable road users like cyclists and pedestrians. The project will develop and test new sensor and control technologies on three vehicle demonstrators. Key findings from accident analyses were used to identify the most common accident scenarios and develop test cases to evaluate the demonstrator vehicles. Naturalistic observations of vehicle-cyclist and vehicle-pedestrian interactions were also conducted. The demonstrator vehicles will feature expanded sensor fields of view, improved detection and classification of vulnerable road users, and controls that can automatically steer or brake to avoid collisions. The goal is to enhance safety and address limitations of current systems through innovative sensing and reaction capabilities.
El 2 de diciembre de 2014 la Fundación Ramón Areces organizó en colaboración con Mujeres por África la primera Jornada 'Ellas investigan' con el lema 'Mujer, ciencia, tecnología e innovación en África'. Diferentes ponentes abordaron desde un punto de vista multidisciplinar qué medidas habría que tomar para impulsar el desarrollo científico y tecnológico en este continente como motor de progreso global.
Electromobilité en Inde, Rajnish Ahuja, Pahle India Foundation, New DelhiVéronique SEEL (Michaut)
Electromobilité en Inde, Rajnish Ahuja, Pahle India Foundation, New Delhi
La Rochelle, EIGSI Ecole d’ingénieurs généralistes
3ième Edition du Forum des mobilités interrégionales « ENERGIES & TRANSPORT PUBLIC »
The document discusses artificial intelligence and autonomous vehicles. It describes how autonomous cars use sensors like laser, radar, LADAR and computer vision to navigate without human input. Some advantages mentioned are fewer crashes, increased road capacity and mobility for all ages and abilities. The history provided highlights milestones in autonomous vehicle research from the 1930s to present day projects. The future section envisions fully automated highway lanes and discusses Google's driverless car which uses sensors and AI to safely navigate traffic.
Driverless vehicles offer advantages like increased mobility and safety, as they are not subject to human errors like distraction or impairment. Several companies are developing autonomous vehicle technologies, with Google and Mercedes-Benz being leaders. Google uses laser sensors and detailed maps to guide its vehicles, while Mercedes offers some self-driving features now and aims to incrementally increase capabilities. Fully autonomous vehicles will need to safely navigate using sensors to identify lanes, traffic signs/lights, other vehicles and objects. Significant software development is still required to achieve full autonomy and address issues like sensor failures or software bugs.
By Parijata Bharadwaj
Road accidents have become a common occurrence and it is predicted that soon they will become the leading killers in today’s motorized world overtaking AIDS and Tuberculosis. The worst hit by these accidents are the pedestrians. This paper aims at providing a detailed analysis of the present legal position of the pedestrian in India and the need to make modifications. The paper draws a comparison between the laws present in other countries as well as the initiative taken by the world community as a whole. In the end the paper suggests a model charter of rights and duties for the pedestrian in India.
This report study the
autonomous vehicles history,
present & future. And give a
quick look over their theory of
operating and their effects on
the economic and energy usage
IRJET- Using Deep Convolutional Neural Network to Avoid Vehicle CollisionIRJET Journal
1) Researchers used a deep convolutional neural network to train and test self-driving car models on vehicle simulators.
2) The models were trained to avoid collisions with obstacles on a track in the simulators.
3) The researchers compared different outcomes from two versions of the simulators to develop a model that could effectively avoid crashes.
This document discusses car automation using Internet of Things technologies. It describes how sensors like ultrasonic sensors, GPS receivers, and IR sensors can be used with microcontrollers like Arduino and Raspberry Pi to monitor and control aspects of a vehicle. This allows for features like obstacle detection, speed control, automatic parking, and remote monitoring. The document also reviews several related works involving platforms for autonomous vehicles and discusses methods, results and applications of car automation systems.
وبینار آینده ایمنی حمل و نقل
Richard Cuerden, Chief Scientist (Engineering & Technology), TRL
http://transportsafety.ir
حمید مرادی
Hamid Moradi
http://transportsafety.ir/category/vehicle-safety
Indian Railways Safety Plan Investment Strategy Safety Environment 1233484425...guestcaceba
Indian Railways has created a special safety fund to replace overaged assets like tracks, bridges and rolling stock within 6 years. The safety plan focuses on five areas - personnel, management, methods, machines and money. Modern training aids for personnel and new technologies like anti-collision devices are being implemented to improve safety while reducing human errors. The plan aims to enhance safety and productivity through targeted investment in critical infrastructure.
Indian Railways Safety Plan Investment Strategy Safety Environment 1233484425...guestfa9236
Indian Railways has created a special safety fund to replace overaged assets like tracks, bridges and rolling stock within 6 years. The safety plan focuses on five areas - personnel, management, methods, machines and money. Modern training aids for personnel and new technologies like anti-collision devices are being implemented to improve safety while reducing human errors. The plan aims to enhance safety and productivity through targeted investment in critical infrastructure.
The document discusses autonomous vehicles and their key features. It describes how autonomous cars use sensors and advanced systems like intelligent cruise control, collision avoidance, lane support and night vision to drive themselves. These systems allow the cars to maintain speed and distance from other vehicles, detect lanes and traffic lights, and park without human assistance. While autonomous vehicles could reduce accidents and increase road capacity, challenges remain around system failures, hacking risks and high costs.
This document discusses the development of next generation trailer electrical architectures and tractor-trailer interfaces. It notes that current architectures are inadequate and companies are offering solutions. It outlines the objectives to create backward-compatible, future-looking definitions for tractor-trailer connections by March 2022 to improve safety, enable autonomous operation, and enhance diagnostics. Solution providers will present on areas like brakes, lighting, telematics, wheels and tires. Considerations include connectors, cables, secure wireless and wired technologies. A memorandum of understanding is proposed between stakeholders to develop non-proprietary, globally compatible standards.
Driverless Vehicles: Future Outlook on Intelligent TransportationIJERA Editor
Numerous technologies have been deployed to assist and manage transportation .But recent concerted efforts in academia andindustry point to a paradigm shift in intelligent transportation systems. Vehicles will carry computing and communication platforms,and will have enhanced sensing capabilities .They will enable new versatile systemsthat enhance transportation efficiency. This article surveys the sate-of-art approaches towards the future outlook on intelligent transportation. Current capabilities as well as limitations and opportunities of key enabling technologies are reviewed along with details of numerous notable projects that have been done around the world. Finally report also reviews the legal and regulatory uncertainties.
IRJET- Intelligent Traffic System in Indore, Madhya Pradesh, IndiaIRJET Journal
This document discusses implementing an intelligent transportation system (ITS) in Indore, Madhya Pradesh, India to address traffic issues. It provides background on ITS and its applications including traveler information systems, traffic management, and commercial vehicles. ITS has been implemented in various countries with varying degrees of success. While some ITS technologies have been introduced in India, full implementation faces challenges of infrastructure, funding, urban growth, and public acceptance. The document proposes improving ITS in Indore through digital traffic management, vehicle communication networks, advanced driver assistance, traffic enforcement cameras, and traveler information systems to reduce congestion and accidents.
The McMaster Engineering EcoCAR 3 Team is a university student team competing in EcoCAR 3, a competition sponsored by the US Department of Energy and GM that tasks teams with converting a Chevrolet Camaro into a high-performance plug-in hybrid electric vehicle. The team aims to build on McMaster's reputation for developing sustainable vehicle technologies. They have designed the E/28 Camaro hybrid, which produces 600HP but gets 42MPG, to challenge perceptions that hybrids cannot be high-powered or fun to drive. The team has experienced success in the competition's first two years, winning several awards for their modeling, innovation, and systems work.
Self driving cars are the future and we must be ready for it whether we like it or not.
This ppt covers self driving cars and the latest technology used in them
This document discusses the potential economic impact and job creation opportunities of emerging autonomous technologies like unmanned aircraft systems. It notes that Maryland is well-positioned in fields like bio-medical, cybersecurity, and unmanned aircraft systems. The integration of UAS into the national airspace could create over 100,000 new jobs by 2025, including over 2,500 jobs and $2 billion economic impact for Maryland alone. Academic and industry partnerships will be critical to developing the workforce needed to capitalize on these opportunities.
- E-Ricks have proliferated in Delhi without regulation, with over 100,000 operating.
- A survey found most operate in western and eastern Delhi, using outdated lead-acid batteries charged illegally at homes.
- Recommendations include registering E-Ricks under the motor vehicle act, requiring driver's licenses, setting standards for battery disposal and charging infrastructure, and incentivizing lithium-ion batteries.
The document presents information on autonomous or self-driving cars. It discusses the concept of autonomous vehicles that can sense their environment and navigate without human input. It outlines the equipment used in autonomous cars, including LIDAR, radar, cameras and GPS. It describes how these sensors work together with an electronic control unit and software to process information and control actuators that move the steering wheel, brakes and throttle. The document also covers some advantages and disadvantages of autonomous vehicles.
Manuscript next generation advanced driver assistance systems towards the pro...Ilona Anna Cieslik
This document summarizes a research project called PROSPECT that aims to improve active safety systems for protecting vulnerable road users like cyclists and pedestrians. The project will develop and test new sensor and control technologies on three vehicle demonstrators. Key findings from accident analyses were used to identify the most common accident scenarios and develop test cases to evaluate the demonstrator vehicles. Naturalistic observations of vehicle-cyclist and vehicle-pedestrian interactions were also conducted. The demonstrator vehicles will feature expanded sensor fields of view, improved detection and classification of vulnerable road users, and controls that can automatically steer or brake to avoid collisions. The goal is to enhance safety and address limitations of current systems through innovative sensing and reaction capabilities.
El 2 de diciembre de 2014 la Fundación Ramón Areces organizó en colaboración con Mujeres por África la primera Jornada 'Ellas investigan' con el lema 'Mujer, ciencia, tecnología e innovación en África'. Diferentes ponentes abordaron desde un punto de vista multidisciplinar qué medidas habría que tomar para impulsar el desarrollo científico y tecnológico en este continente como motor de progreso global.
Electromobilité en Inde, Rajnish Ahuja, Pahle India Foundation, New DelhiVéronique SEEL (Michaut)
Electromobilité en Inde, Rajnish Ahuja, Pahle India Foundation, New Delhi
La Rochelle, EIGSI Ecole d’ingénieurs généralistes
3ième Edition du Forum des mobilités interrégionales « ENERGIES & TRANSPORT PUBLIC »
The document discusses artificial intelligence and autonomous vehicles. It describes how autonomous cars use sensors like laser, radar, LADAR and computer vision to navigate without human input. Some advantages mentioned are fewer crashes, increased road capacity and mobility for all ages and abilities. The history provided highlights milestones in autonomous vehicle research from the 1930s to present day projects. The future section envisions fully automated highway lanes and discusses Google's driverless car which uses sensors and AI to safely navigate traffic.
Driverless vehicles offer advantages like increased mobility and safety, as they are not subject to human errors like distraction or impairment. Several companies are developing autonomous vehicle technologies, with Google and Mercedes-Benz being leaders. Google uses laser sensors and detailed maps to guide its vehicles, while Mercedes offers some self-driving features now and aims to incrementally increase capabilities. Fully autonomous vehicles will need to safely navigate using sensors to identify lanes, traffic signs/lights, other vehicles and objects. Significant software development is still required to achieve full autonomy and address issues like sensor failures or software bugs.
By Parijata Bharadwaj
Road accidents have become a common occurrence and it is predicted that soon they will become the leading killers in today’s motorized world overtaking AIDS and Tuberculosis. The worst hit by these accidents are the pedestrians. This paper aims at providing a detailed analysis of the present legal position of the pedestrian in India and the need to make modifications. The paper draws a comparison between the laws present in other countries as well as the initiative taken by the world community as a whole. In the end the paper suggests a model charter of rights and duties for the pedestrian in India.
This report study the
autonomous vehicles history,
present & future. And give a
quick look over their theory of
operating and their effects on
the economic and energy usage
IRJET- Using Deep Convolutional Neural Network to Avoid Vehicle CollisionIRJET Journal
1) Researchers used a deep convolutional neural network to train and test self-driving car models on vehicle simulators.
2) The models were trained to avoid collisions with obstacles on a track in the simulators.
3) The researchers compared different outcomes from two versions of the simulators to develop a model that could effectively avoid crashes.
This document discusses car automation using Internet of Things technologies. It describes how sensors like ultrasonic sensors, GPS receivers, and IR sensors can be used with microcontrollers like Arduino and Raspberry Pi to monitor and control aspects of a vehicle. This allows for features like obstacle detection, speed control, automatic parking, and remote monitoring. The document also reviews several related works involving platforms for autonomous vehicles and discusses methods, results and applications of car automation systems.
Autonomous cars self-driving cars-driverless cars market 2020 to 2030Chandan Chaudhary
The Autonomous cars/Self-Driving Cars/Driverless Cars Market report offers a deep analysis of the Market Research Industry. It demonstrates a rapid summary of industry data and a key catalog of the market. The report highlights well-known performers from the Autonomous cars/Self-Driving Cars/Driverless Cars Market beside contribution to the market vocation progress within the estimated time. KACSK Market Research Report covers recent improvements while predicting the expansion of the players of the market.
Below is the detailed list of some of the major investments in the run of driverless technology
1. Ford $1 billion investment in Argo AI
2. Toyota Research Institute $1 billion
3. Uber purchased Otto for $680 million
4. GM acquired CRUZE AUTOMATION for $580 million
5. Intel to buy Mobileye for $15.3 billion
6. GM invests $500 million in LYFT- drive sharing startup
7. VOLVO and Uber $300 million JV
8. Hyundai $1.7 billion R & D
9. Intel $250 million in driverless AI tech.
IRJET - A Review on Multi-Functional Multi-Ability Electric VehicleIRJET Journal
This document reviews technologies for electric vehicles that provide multiple functions and abilities. It discusses adjusting vehicle ground clearance for different speeds using active or semi-active suspension systems. It also describes parallel parking systems that use sensors and controllers to autonomously steer a vehicle into a parking space. Technologies for zero turning radius are presented which allow a vehicle to rotate in place using four-wheel steering.
The document presents information on driverless cars, including a brief history of autonomous vehicles from 1969. It discusses how driverless cars use sensors and software to navigate without human input, and considers issues like safety, economic impacts, and how autonomous technology could affect transportation. While driverless cars may reduce accidents and open up new mobility options, challenges include high costs, job disruption, and ensuring computer systems don't cause crashes. The conclusion discusses both benefits of and social barriers to autonomous vehicle adoption.
The Development Obstacles and Correction Strategies of Intelligent & Connecte...IRJET Journal
The document discusses the development of intelligent and connected vehicles and some obstacles to their growth. It notes that while such vehicles provide benefits like increased safety, efficiency and environmental friendliness, there are also challenges to address, such as difficulties with moral decision-making software, a lack of basic regulations, technical defects, and unclear liability in accidents. It argues these issues need to be resolved through measures like industry self-regulation standards, a comprehensive regulatory framework, improving technical competence, and mechanisms for identifying and assigning accident responsibility.
IRJET- Automatic Reverse Breaking System for TrolleyIRJET Journal
This document describes a proposed automatic reverse braking system for vehicles. The system uses sensors to detect obstacles behind a vehicle in reverse and automatically applies the brakes to prevent collisions. It is meant to address the problem of accidents that occur during reversing due to difficulties detecting objects or careless driving. The system would process sensor data and control the vehicle brakes to maintain a safe distance from any detected objects. It proposes implementing the control logic on an FPGA (field programmable gate array) microcontroller. The goal is to design a reliable automatic braking system that prevents injuries from reversing collisions by quickly detecting obstacles and braking the vehicle.
Autonomous Vehicle by using 3D LIDAR and 2D CameraIRJET Journal
This document presents a study on developing an autonomous vehicle prototype using a 3D LIDAR sensor and 2D camera. The proposed system uses a Raspberry Pi as the main processing unit, connected to sensors like a LIDAR, camera, GPS and motor drivers. It aims to detect obstacles using these sensors and avoid collisions in real-time. The document discusses the various hardware components, system architecture, workflow and provides results from simulations and object detection tests on the prototype. It concludes that combining LIDAR and camera provides better environmental perception for autonomous navigation. Future work may include improving algorithms using advanced machine learning.
Our goal at PSA Peugeot Citroën is to help drivers let go of the wheel. We are currently designing clear,
intuitive and user-friendly interfaces that allow drivers to interact effortlessly with their vehicles and take back
control whenever they wish.
Autonomous vehicles will be connected to road infrastructure and to each other to optimise travel times,
reduce fuel consumption and proactively manage potentially hazardous road incidents.
PSA Peugeot Citroën pioneered emergency call and assistance systems in 2003. Now we are doing the
same with connected services. The Peugeot Connect Apps and Citroën Multicity Connect service platforms,
for example, have been reinventing the driving experience since 2012, offering assistance, communication
and information.
These apps are paving the way for the next generation of connected services, this time aimed at optimising
customer mobility and offering a seamless user experience with more comfort, more services and more
safety.
Greater vehicle connectivity means greater vehicle autonomy, and that ultimately means greater mobility for
our customers.
The document discusses adaptive cruise control (ACC) systems, which use sensors and controllers to maintain a safe distance from the vehicle ahead. It describes how ACC has evolved from conventional cruise control and now uses sensors like radar and LIDAR. ACC systems process sensor data to control braking and throttling. Cooperative ACC (CACC) allows vehicle-to-vehicle communication to coordinate speeds and braking more safely. While CACC promises increased safety and efficiency, its benefits require widespread adoption and it may encourage driver complacency. Researchers continue working to develop more advanced safety systems using sensors and vehicle communication.
Autonomous Driving using Deep Reinforcement Learning in Urban Environmentijtsrd
Deep Reinforcement Learning has led us to newer possibilities in solving complex control and navigation related tasks. The paper presents Deep Reinforcement Learning autonomous navigation and obstacle avoidance of self driving cars, applied with Deep Q Network to a simulated car an urban environment. “The car, using a variety of sensors will be easily able to detect pedestrians, objects will allow the car to slow or stop suddenly. As a computer is far more precise and subject to fewer errors than a human, accident rates may reduce when these vehicles become available to consumers. This autonomous technology would lead to fewer traffic jams and safe roadâ€. Hashim Shakil Ansari | Goutam R ""Autonomous Driving using Deep Reinforcement Learning in Urban Environment"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23442.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/23442/autonomous-driving-using-deep-reinforcement-learning-in-urban-environment/hashim-shakil-ansari
The document discusses the development of self-driving vehicles and predictions for their widespread adoption. Key points include:
- Self-driving cars are expected to become common in the next decade as technology costs drop and regulations become more favorable.
- These vehicles will be connected through sensors and communications to navigate autonomously while transporting people between destinations.
- Major automakers like GM, Ford, Toyota, and Volkswagen are developing autonomous driving technologies with some semi-autonomous features already available on certain models and fully driverless vehicles predicted by 2018.
The document provides an overview of automated driving systems (ADS). It discusses how ADS have evolved since experiments in the 1920s and discusses key components like mapping/localization, obstacle avoidance, and path planning. It distinguishes between autonomous and automated vehicles, noting most current concepts rely on human oversight. The document also covers pros and cons of ADS, different levels of vehicle autonomy, and legal/regulatory considerations for deploying autonomous vehicles. It concludes that while technology has advanced, many challenges remain before self-driving vehicles can safely operate without human assistance or oversight.
This document contains information about 17 different embedded projects related to automotive and transportation systems. Some of the project titles and brief descriptions included are:
1. Car to Car Communication based on GPS and Wi-Fi which proposes a vehicle communication protocol for collision warning using emerging wireless technologies.
2. Pilot Controlled Lighting (PCL) system which allows aircraft pilots to control airport lighting via radio to save energy when runways are not in use.
3. Design of an accelerometer-based system to detect vehicle accidents and automatically notify emergency services via SMS.
The document provides short abstracts describing the objectives and technical approaches for each of the 17 different embedded transportation and automotive projects.
IRJET - Automobile Black Box System for Vehicle Accident AnalysisIRJET Journal
This document summarizes research on using an automobile black box system to analyze vehicle accidents. It proposes using sensors like temperature, humidity, and gas sensors mounted on a Raspberry Pi 3 to continuously monitor vehicle and driver conditions. Video and location data would also be collected from external cameras and GPS. All sensor data would be stored on an SD card for retrieval after an accident occurs. The goal is to analyze accidents more accurately by objectively recording what happened leading up to the accident. This could help prevent future accidents by identifying risky driver behaviors from the collected data.
Introduction to Connected Cars and Autonomous VehiclesBill Harpley
This is the first of two lectures which were given to students and academic staff at the University of Portsmouth on March 28th 2017. It provides a broad overview of the technical and public policy challenges faced by the automotive industry.
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
An improved modulation technique suitable for a three level flying capacitor ...IJECEIAES
This research paper introduces an innovative modulation technique for controlling a 3-level flying capacitor multilevel inverter (FCMLI), aiming to streamline the modulation process in contrast to conventional methods. The proposed
simplified modulation technique paves the way for more straightforward and
efficient control of multilevel inverters, enabling their widespread adoption and
integration into modern power electronic systems. Through the amalgamation of
sinusoidal pulse width modulation (SPWM) with a high-frequency square wave
pulse, this controlling technique attains energy equilibrium across the coupling
capacitor. The modulation scheme incorporates a simplified switching pattern
and a decreased count of voltage references, thereby simplifying the control
algorithm.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.