Fornation Control of Platoons of Autonomous Vehicles
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A four-month special problem done in the Georgia Institute of Technology under the supervision of Prof. Cedric Pradalier
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This document describes an autonomous vehicle simulation project. It discusses the essential components of an autonomous vehicle like sensors, a main computer and controllers. It then describes the autonomous vehicle simulator which simulates these components in a virtual world and allows extracting experimental data and displaying the real-time simulation. The simulator is divided into a configuration manager and real-time simulation parts. The project will be released as open-source by the end of the year to allow further development and support different platforms running the same steering/control algorithms.
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a) No-Automation (Level 0)
b) Function-specific Automation (Level 1)
c) Combined Function Automation (Level 2)
d) Limited Self-Driving Automation (Level 3)
e) Full Self-Driving Automation (Level 4).
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Autonomous vehicles can evolve to impact society in profound ways by challenging assumptions we have lived by for generations. This presentation (and the discussion it supports) will explore the new opportunities as well as the challenges of autonomous vehicles, from how they will impact individuals’ lives during early adoption to how they will remake the urban cityscape in the long term. We will explore the technology’s impact on the concepts of vehicle ownership, parking, travel planning, and other parts of our lives shaped today around humans at the wheel, as well as practical challenges to realizing the long term opportunities.
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This document provides an overview of Sensotronic Brake Control (SBC), including:
1. The key components of SBC including the brake operating unit, traction system hydraulic unit, and control module.
2. How SBC works during normal braking to provide pedal feel and precise brake pressure control at each wheel.
3. Emergency braking operation which bypasses the brake pressure simulator for direct pressure to the front calipers.
4. Procedures for bleeding the brake system, activating SBC after deactivation, and diagnosing issues using SDS.
Designing Roads for AVs (autonomous vehicles)
Autonomous vehicles (AVs) represent one of the most promising new technologies for smart cities and for humans in general. The problem is that cities will not realize the full benefits from AVs until roads are designed for them. Until this occurs, their main benefit will be the elimination of the driver and steering wheel, which will reduce the cost and increase the capacity of taxis; but even this impact will not occur for many years because of safety concerns. Thus, in the near term, the main benefit of AVs will be free time for the driver to do emails and other smart phone related tasks.
A better solution is to design roads for AVs or in other words, to constrain the environment for AVs in order to simplify the engineering problem for them. For example, designing roads so that all vehicles can be controlled by a combination of wireless communication, RFID tags, and magnets will reduce the cost of AVs and increase their benefits. Only AVs would be allowed on these roads, they are checked for autonomous capability at the entrance, and control is returned to the driver when an AV leaves the road. Existing cars can be retrofitted with wireless modules that enable cars to be controlled by a central system, thus enabling cars to travel closely together. The magnets and RFID tags create an invisible railway that keeps the AVs in their lanes while wireless communication is used for lane changing and exiting a highway (Chang et al, 2014; Le Quesne et al, 2014). These wireless modules, magnets and RFID tags will be much cheaper than the expensive LIDAR that is needed when AVs are mixed with conventional vehicles on a road.
The benefits from dedicating roads to AVs include higher vehicle densities, less congestion, faster travel times, and higher fuel efficiencies. These seemingly contradicting goals can be achieved because AVs can have shorter inter-vehicle distances even at high speeds thus enabling higher densities, lower congestion, and lower travel times. The less congestion and thus fewer instances of slow moving or stopped vehicles enable the vehicles to travel at those speeds at which higher fuel efficiencies can be achieved (Funk, 2015). In combination with new forms of multiple passenger ride sharing, the higher fuel efficiencies will also reduce carbon emissions and thus help fight climate change.
The challenge is to develop a robust system that can be easily deployed in various cities and that will be compatible with vehicles containing the proper subsystems. Such a system can be developed in much the same way that new cellular systems are developed and tested. Suppliers of mobile phone infrastructure, automobiles, sensors, LIDAR, 3D vision systems, and other components must work with city governments and universities to develop and test a robust architecture followed by the development of a detail design.
Sensotronic brake-control
Sensotronic Brake Control (SBC) is an electronically controlled brake system that uses electric signals and a microcomputer to calculate optimal brake pressure at each wheel based on sensor inputs and driving situation. It replaces many mechanical components with electronic ones, using sensors to gauge brake pedal pressure and speed and send that data to the central control unit. SBC allows for more dynamic brake management and integration with other systems like ESP, providing benefits like faster emergency braking, improved stability, and increased brake comfort.
Autonomous Vehicles
Autonomous vehicles use various sensors like ultrasonic sensors, RADAR, LIDAR, image sensors, GPS, and wheel speed sensors to navigate without human input. They rely on sensor integration and technologies like computer vision, V2X communication, and electronic control units to process sensor data. While self-driving cars offer benefits like safety and efficiency, there are also challenges to overcome like unpredictable humans, bad weather, and needing detailed digital maps. Fully autonomous vehicles may become common by 2040 if these issues can be addressed.
SENSOTRONIC BRAKE CONTROL(SBC)
Sensotronic Brake Control (SBC) is an electro-hydraulic braking system introduced by Mercedes-Benz that allows for individual brake pressure control of each wheel. SBC uses a central control unit connected to sensors and valves to determine the optimal brake pressure for each wheel based on inputs like pedal position, vehicle motion, and inputs from the Electronic Stability Program. This precise control of brake pressure for each wheel provides benefits like reduced stopping distances, improved stability, and comfort features like soft stops and drive-away assist.
Smart infrastructure for autonomous vehicles
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how autonomous vehicles are becoming economic feasible. They are becoming economically feasible because the cost of lasers, ICs, MEMS, and other electronic components are falling at 25 to 40% per year. If the cost of autonomous vehicles fall 25% a year, the cost of the electronics associated with autonomous vehicles will fall 90% in 10 years. Dedicating roads to autonomous vehicles is necessary to achieve the most benefits from autonomous vehicles. While using autonomous vehicles in combination with conventional vehicles can free drivers for other activities, dedicating roads to autonomous vehicles can dramatically reduce congestion, increase speeds, and thus increase the number of cars per area of the road. They can also reduce accidents, insurance, and the number of traffic police. These slide discuss the use of wireless technologies for the control and coordination of autonomous vehicles. Improvements in bandwidth, speed, and latency (delays) along with improvements in computer processing are occurring and these improvements are making dedicated roads for autonomous vehicles economically feasible.
Autonomous vehicles
This document discusses autonomous vehicles and the companies working on them. It defines autonomous vehicles as vehicles that can travel from one point to another without human interaction. The top companies working on autonomous vehicles are Google, Intel, General Motors, Mercedes Benz, and Audi. Autonomous vehicles use technologies like lidar, radar, cameras and sensors to navigate and detect obstacles without human assistance. They have potential to reduce accidents by eliminating human error.
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These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how autonomous vehicles are becoming economically feasible throug through improvements in lasers, microelectronic mechanical systems (MEMS), integrated circuits (ICs), and other components. Although the cost of the Google Car is currently about 150,000 USD, 30% annual improvements in lasers, MEMS, and ICs will make these economically feasible for a broad number of users in the next ten years. A key issue is when certain lanes, roads or even entire highway systems are restricted to automated vehicles. This would enable collision avoidance to rely more on between-vehicle communications. This would further reduce the cost of automated vehicles, stimulate diffusion, and also reduce transportation time and increase fuel efficiency.
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National University of Singapore students presented on autonomous vehicles, including their evolution, enabling technologies like sensors and connectivity, infrastructure needs, and entrepreneurial opportunities. Key points discussed include autonomous vehicles producing large amounts of data, 5G enabling low latency required for applications, dedicated lanes and platooning potentially increasing road capacity, and autonomous vehicles reducing fuel costs, traffic, and accidents while creating new business models.
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This document provides instructions for creating a Slideshare account in 8 steps: go to the Slideshare website, click sign-up, fill out the required information, accept the terms of service and privacy policy, click sign-up, click the Slideshare logo on the confirmation page, and upon completion you will have successfully created your Slideshare account.
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Autonomous Underwater Vehicle (AUVs)
An autonomous underwater vehicle (AUV) is a robot which travels underwater without requiring input from an operator. AUVs constitute part of a larger group of undersea systems known as unmanned underwater vehicles, a classification that includes non-autonomous remotely operated underwater vehicles (ROVs) – controlled and powered from the surface by an operator/pilot via an umbilical or using remote control. In military applications AUVs are more often referred to simply as unmanned undersea vehicles (UUVs).
Sensotronic Brake Control
The document discusses sensotronic braking systems (SBC), which use electronic sensors and controls rather than mechanical linkages. SBC was developed by Robert Bosch and Mercedes-Benz to provide faster, more precise braking control through analyzing sensor data on wheel speeds, pedal pressure, steering angle and other factors. Key components include a microcomputer, hydraulic units to control pressure at each wheel, and sensors on the pedal, wheels, steering and hydraulic units. SBC allows for functions like emergency braking assistance, stability control, and optimized braking in turns. It could enable future autonomous vehicle guidance systems.
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How will driverless vehicles impact urban living and daily commutes? How should governments get involved?
Lauren Isaac, Manager of Sustainable Transportation at WSP | Parsons Brinckerhoff in the US, is dedicated to improving mobility around our cities. She blogs about automated vehicles and driverless cars and is doing research on what should be the role of governments.
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The document discusses the history and development of autonomous vehicles. It begins with early prototypes in the 1970s and 1980s, including Japan's first autonomous car that could travel up to 30 km/h. Major milestones are DARPA challenges and demonstrations of road following and obstacle avoidance. The document outlines key technologies required for autonomous vehicles like sensors, navigation, motion planning, and actuation. Short term advantages include reducing traffic and allowing work or rest while traveling. Long term, autonomous vehicles could enable longer commutes, public transit reductions, and decreased emissions. Ethical implications around training, corporate control, and privacy are discussed.
Autonomous Vehicle an overview
a) No-Automation (Level 0)
b) Function-specific Automation (Level 1)
c) Combined Function Automation (Level 2)
d) Limited Self-Driving Automation (Level 3)
e) Full Self-Driving Automation (Level 4).
Autonomous Vehicles - Impacts and Opportunities
Autonomous vehicles can evolve to impact society in profound ways by challenging assumptions we have lived by for generations. This presentation (and the discussion it supports) will explore the new opportunities as well as the challenges of autonomous vehicles, from how they will impact individuals’ lives during early adoption to how they will remake the urban cityscape in the long term. We will explore the technology’s impact on the concepts of vehicle ownership, parking, travel planning, and other parts of our lives shaped today around humans at the wheel, as well as practical challenges to realizing the long term opportunities.
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This document discusses how 5G networks and autonomous vehicles will enable the era of software-defined cars. It outlines how automakers can improve customer satisfaction, increase operational efficiency, and generate new revenue streams through remote software updates and new post-production features delivered over 5G. 5G networks will provide the low latency, high bandwidth, and reliability needed to support advanced autonomous use cases. These capabilities could enable applications like platooning, autonomous driving in urban areas, and lane-less driving. The future of automakers may involve acting as mobility service providers through fleet management enabled by 5G connectivity.
CES 2014 - Autonomous Connected Vehicles
The document discusses autonomous vehicles and how technology can transform transportation. It notes that autonomous vehicles could reduce transportation costs on average by $550-$420 per vehicle per year through reduced insurance, operation costs, and time spent in traffic. The document also discusses how consumers globally trust autonomous vehicles, especially in emerging markets, and how transportation and communication costs take a large portion of personal income in many countries that could potentially be reduced.
Mercedes benz sensotronic
This document provides an overview of Sensotronic Brake Control (SBC), including:
1. The key components of SBC including the brake operating unit, traction system hydraulic unit, and control module.
2. How SBC works during normal braking to provide pedal feel and precise brake pressure control at each wheel.
3. Emergency braking operation which bypasses the brake pressure simulator for direct pressure to the front calipers.
4. Procedures for bleeding the brake system, activating SBC after deactivation, and diagnosing issues using SDS.
Designing Roads for AVs (autonomous vehicles)
Autonomous vehicles (AVs) represent one of the most promising new technologies for smart cities and for humans in general. The problem is that cities will not realize the full benefits from AVs until roads are designed for them. Until this occurs, their main benefit will be the elimination of the driver and steering wheel, which will reduce the cost and increase the capacity of taxis; but even this impact will not occur for many years because of safety concerns. Thus, in the near term, the main benefit of AVs will be free time for the driver to do emails and other smart phone related tasks.
A better solution is to design roads for AVs or in other words, to constrain the environment for AVs in order to simplify the engineering problem for them. For example, designing roads so that all vehicles can be controlled by a combination of wireless communication, RFID tags, and magnets will reduce the cost of AVs and increase their benefits. Only AVs would be allowed on these roads, they are checked for autonomous capability at the entrance, and control is returned to the driver when an AV leaves the road. Existing cars can be retrofitted with wireless modules that enable cars to be controlled by a central system, thus enabling cars to travel closely together. The magnets and RFID tags create an invisible railway that keeps the AVs in their lanes while wireless communication is used for lane changing and exiting a highway (Chang et al, 2014; Le Quesne et al, 2014). These wireless modules, magnets and RFID tags will be much cheaper than the expensive LIDAR that is needed when AVs are mixed with conventional vehicles on a road.
The benefits from dedicating roads to AVs include higher vehicle densities, less congestion, faster travel times, and higher fuel efficiencies. These seemingly contradicting goals can be achieved because AVs can have shorter inter-vehicle distances even at high speeds thus enabling higher densities, lower congestion, and lower travel times. The less congestion and thus fewer instances of slow moving or stopped vehicles enable the vehicles to travel at those speeds at which higher fuel efficiencies can be achieved (Funk, 2015). In combination with new forms of multiple passenger ride sharing, the higher fuel efficiencies will also reduce carbon emissions and thus help fight climate change.
The challenge is to develop a robust system that can be easily deployed in various cities and that will be compatible with vehicles containing the proper subsystems. Such a system can be developed in much the same way that new cellular systems are developed and tested. Suppliers of mobile phone infrastructure, automobiles, sensors, LIDAR, 3D vision systems, and other components must work with city governments and universities to develop and test a robust architecture followed by the development of a detail design.
Sensotronic brake-control
Sensotronic Brake Control (SBC) is an electronically controlled brake system that uses electric signals and a microcomputer to calculate optimal brake pressure at each wheel based on sensor inputs and driving situation. It replaces many mechanical components with electronic ones, using sensors to gauge brake pedal pressure and speed and send that data to the central control unit. SBC allows for more dynamic brake management and integration with other systems like ESP, providing benefits like faster emergency braking, improved stability, and increased brake comfort.
Autonomous Vehicles
Autonomous vehicles use various sensors like ultrasonic sensors, RADAR, LIDAR, image sensors, GPS, and wheel speed sensors to navigate without human input. They rely on sensor integration and technologies like computer vision, V2X communication, and electronic control units to process sensor data. While self-driving cars offer benefits like safety and efficiency, there are also challenges to overcome like unpredictable humans, bad weather, and needing detailed digital maps. Fully autonomous vehicles may become common by 2040 if these issues can be addressed.
SENSOTRONIC BRAKE CONTROL(SBC)
Sensotronic Brake Control (SBC) is an electro-hydraulic braking system introduced by Mercedes-Benz that allows for individual brake pressure control of each wheel. SBC uses a central control unit connected to sensors and valves to determine the optimal brake pressure for each wheel based on inputs like pedal position, vehicle motion, and inputs from the Electronic Stability Program. This precise control of brake pressure for each wheel provides benefits like reduced stopping distances, improved stability, and comfort features like soft stops and drive-away assist.
Smart infrastructure for autonomous vehicles
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how autonomous vehicles are becoming economic feasible. They are becoming economically feasible because the cost of lasers, ICs, MEMS, and other electronic components are falling at 25 to 40% per year. If the cost of autonomous vehicles fall 25% a year, the cost of the electronics associated with autonomous vehicles will fall 90% in 10 years. Dedicating roads to autonomous vehicles is necessary to achieve the most benefits from autonomous vehicles. While using autonomous vehicles in combination with conventional vehicles can free drivers for other activities, dedicating roads to autonomous vehicles can dramatically reduce congestion, increase speeds, and thus increase the number of cars per area of the road. They can also reduce accidents, insurance, and the number of traffic police. These slide discuss the use of wireless technologies for the control and coordination of autonomous vehicles. Improvements in bandwidth, speed, and latency (delays) along with improvements in computer processing are occurring and these improvements are making dedicated roads for autonomous vehicles economically feasible.
Autonomous vehicles
This document discusses autonomous vehicles and the companies working on them. It defines autonomous vehicles as vehicles that can travel from one point to another without human interaction. The top companies working on autonomous vehicles are Google, Intel, General Motors, Mercedes Benz, and Audi. Autonomous vehicles use technologies like lidar, radar, cameras and sensors to navigate and detect obstacles without human assistance. They have potential to reduce accidents by eliminating human error.
Autonomous vehicles: becoming economically feasible through improvements in l...
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how autonomous vehicles are becoming economically feasible throug through improvements in lasers, microelectronic mechanical systems (MEMS), integrated circuits (ICs), and other components. Although the cost of the Google Car is currently about 150,000 USD, 30% annual improvements in lasers, MEMS, and ICs will make these economically feasible for a broad number of users in the next ten years. A key issue is when certain lanes, roads or even entire highway systems are restricted to automated vehicles. This would enable collision avoidance to rely more on between-vehicle communications. This would further reduce the cost of automated vehicles, stimulate diffusion, and also reduce transportation time and increase fuel efficiency.
Autonomous Vehicles: Technologies, Economics, and Opportunities
National University of Singapore students presented on autonomous vehicles, including their evolution, enabling technologies like sensors and connectivity, infrastructure needs, and entrepreneurial opportunities. Key points discussed include autonomous vehicles producing large amounts of data, 5G enabling low latency required for applications, dedicated lanes and platooning potentially increasing road capacity, and autonomous vehicles reducing fuel costs, traffic, and accidents while creating new business models.
How to Create a Slideshare Account
This document provides instructions for creating a Slideshare account in 8 steps: go to the Slideshare website, click sign-up, fill out the required information, accept the terms of service and privacy policy, click sign-up, click the Slideshare logo on the confirmation page, and upon completion you will have successfully created your Slideshare account.
The Future Development of Traffic Signals and the Impact of Autonomous Vehicles
This document discusses the future development of traffic signals and the impact of autonomous vehicles. It begins with a brief history of traffic signal technology and then discusses where the technology is now. It explores current signal developments including vehicle-to-vehicle and vehicle-to-infrastructure communications. The document suggests that autonomous vehicles will require advanced sensor systems to identify all aspects of intersections and that future traffic signals may provide signal timing information to connected vehicles to increase efficiency.
Autonomous Underwater Vehicle (AUVs)
An autonomous underwater vehicle (AUV) is a robot which travels underwater without requiring input from an operator. AUVs constitute part of a larger group of undersea systems known as unmanned underwater vehicles, a classification that includes non-autonomous remotely operated underwater vehicles (ROVs) – controlled and powered from the surface by an operator/pilot via an umbilical or using remote control. In military applications AUVs are more often referred to simply as unmanned undersea vehicles (UUVs).
Sensotronic Brake Control
The document discusses sensotronic braking systems (SBC), which use electronic sensors and controls rather than mechanical linkages. SBC was developed by Robert Bosch and Mercedes-Benz to provide faster, more precise braking control through analyzing sensor data on wheel speeds, pedal pressure, steering angle and other factors. Key components include a microcomputer, hydraulic units to control pressure at each wheel, and sensors on the pedal, wheels, steering and hydraulic units. SBC allows for functions like emergency braking assistance, stability control, and optimized braking in turns. It could enable future autonomous vehicle guidance systems.
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The Future Development of Traffic Signals and the Impact of Autonomous Vehicles
Similar to Fornation Control of Platoons of Autonomous Vehicles
Iwsm2014 manage the automotive embedded software (alexandre oriou)
Renault has adopted the COSMIC method to measure the size of embedded software specified using Simulink. An automated tool has been developed to apply COSMIC measurements to Simulink models. COSMIC measurements are used to estimate development costs and schedules, evaluate supplier productivity, estimate memory requirements, and determine the value of software functions. Renault aims to further integrate COSMIC measures into software quality dashboards to improve project monitoring.
PLANNING OF MOTION FOR THE PARKING OF ROAD VEHICLES
The development of self-driving system or autonomous vehicles is accelerating.
Advanced driver assistance systems (ADAS) are already implemented on commercial vehicles, just think about cruise control as well as Intelligent Parking Assist System.
Here is proposed an innovative approach, based on Level Set Method, to solve the task of autonomous parking.
IWSM2014 - Manage the Automotive Embedded Software Development Cost & Product...
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How China NCAP is promoting the progress of automotive technical development in China. Presentation given at the 2014 Global NCAP Annual Meeting. CATARC, Tianjin, China. 30 October 2014
AUTOMATIC SOLAR VERTICAL CAR PARKING SYSTEM
The project is mainly on embedded systems.
An Embedded system is an electronic/electromechanical system designed to perform a specific function and it is a combination of firmware and hardware.
We had used 8051 Microcontroller
REQUIRES LESS SPACE IN AUTOMATIC CAR PARKING
REDUCES POLLUTION
TRADTIONAL CAR PARKING IS COSTLY PROCESSS
The automatic parking aims to enhance the comfort and safety of driving in constrained environments where much attention and experience is required to steer the car.
General_Presentation_Altran_Engineering
This document discusses Altran Engineering, a global engineering and R&D company with expertise in innovative product development, intelligent systems, lifecycle experience, and information systems. It provides an overview of Altran's operations in the Netherlands, including its history, offices, employees, clients, markets served, and capabilities. Examples of reference projects are also summarized for automotive, transportation, aerospace, energy, and other sectors.
Project Proposal Presentation
This document outlines a project to develop an autonomous bicycle that can travel in a straight line at a constant speed without human intervention. It will use sensors to measure the bicycle's steering angle and tilt, along with motors to control the steering and drive the bicycle forward. The project aims to provide a hands-on learning tool for students in a controls class. It describes the bicycle's components, control system design process using modeling and simulation, qualifications of the team members, budget, and schedule. References on bicycle dynamics and control systems are also included.
virtual-system-integration-and-early-functional-validation-in-the-whole-vehic...
This document discusses using virtual integration and early functional validation in vehicle development. It begins by explaining how virtual integration can help control increasing system complexity. It then discusses using a system engineering approach and virtual integration across the whole vehicle. As a use case, it focuses on emergency brake assistance, modeling its various components and integrating them in a virtual vehicle prototype to enable early validation through virtual test driving. Finally, it discusses how virtual integration can be incorporated throughout the development process to improve verification and validation efforts.
Safe Driving Advisor and Evaluator.pptx
We developed a model predictive control -based simulator using differential equations and realizing a final simulation loop system mimicking vehicle dynamics, driver behavior, road geometry, and a decision-making system. The simulator is developed in Wolfram Mathematica and relies on a symbolic numerical approach to optimize a vehicles track (represented as a cost function) for autonomous driving enabling lane-keeping, collision-avoidance, path-planning, and decision-making features while assessing and reducing the risk associated to the vehicle by providing warnings and interventions when a crash is imminent.
Vehicle counting for traffic management
This ppt is based on counting the number of vehicle on traffic roads, highways,etc. This project is based on python.
Test 2.pdf
The document describes a lane test conducted at the Automotive Lab of Salahaddin University. The test used a VIDEO-COMBI line 2204/2304 device to evaluate various systems of passenger cars. The device includes a brake diagnosis unit, chassis testing unit, and fast track tester. The lane test consisted of three parts: (1) measuring track deviation using the fast track tester; (2) testing suspension systems using the chassis testing unit; and (3) evaluating brake systems using the brake diagnosis unit. The document concludes with a request to briefly discuss car suspension and brake systems.
Autonomous Industry Feedback
The document proposes a new certification scheme for automated/autonomous vehicles that considers the increased complexity and scenarios that cannot be fully tested on tracks or benches. The concept includes three pillars: 1) An audit of the development process and safety concept. 2) Physical certification tests of critical scenarios. 3) A real-world test drive to assess overall capabilities. Together these evaluate if the system was designed safely and performs comparable to an experienced driver. Simulation is also used to test variations that are difficult to assess otherwise. The approach aims to demonstrate safety for market introduction in a flexible way that allows for continued technology evolution.
NAFEMS Americas Elements presentation
Validation of a novel open source software suite against an extensive data set of automotive aerodynamics test cases
Japan NCAP Update
- JNCAP is aiming to enhance vehicle safety regulations and assessments in Japan.
- For pedestrian protection tests in 2016, the impact speed will increase to 40km/h and evaluation criteria will become more stringent.
- For preventive safety assessments in 2016, AEB testing will be expanded to include pedestrian scenarios at night and with obstructions.
- Overall, JNCAP is working to strengthen various collision and preventive safety evaluations in order to further reduce traffic fatalities in Japan.
TRAFFIC SIMULATION AT TOLL ROAD SECTION USING VISSIM SOFTWARE
MADE BY SHRIKRISHNA KESHARWANI
1ST YR ASSIGNMENT
MASTERS OF TECHNOLOGY
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Human Machine Interfaces in Low Carbon Vehicles - early adopter research
Research findings and design recommendations from the multi partner Low Carbon Vehicle Technology Project. The project investigated the use of the driver interfaces by early adopters of Low Carbon Vehicles, and their influence on user experience. Trends in the design of relevant HMI were reviewed, together with analysis of primary data from electric and hybrid vehicle trials in the UK, and secondary data from users‟ blogs and field trials in Europe and North America.
Evolution of Vehicle aftter it has been released, How its made and managed
a research project based on the theme: Evolution of vehicle after it has been released, how it’s made, and how it’s managed.
Focusing on the Renault system design used in the manufacturing of Automotive and also Serial life management.
Abhilash motarwar resume cf
The document is a resume for Abhilash Motarwar, who is seeking opportunities in automotive embedded controls and HIL simulation. He has 18 months of experience in automotive controls, HIL simulation, powertrain control, and vehicle dynamics simulation. Currently, he is working on a project developing clutch and transmission controls for a 1949 Chevrolet truck. He also has experience developing optimization algorithms for powertrain calibration and working with ECUs for automotive controls.
Driving Behavior for ADAS and Autonomous Driving II
AutonoVi, Autonomous Planning, Dynamic Maneuvers, Traffic Constraints, Driver Behaviors, Trajectory Features, Vehicle Navigation, End-to-end, Conditional Imitation Learning,
Conditional Affordance Learning, Failure Prediction for Autonomous Driving LIDAR, Driving Path,Driving Policies, E2E Learning, Driving Models, Route Planners
Similar to Fornation Control of Platoons of Autonomous Vehicles (20)
Iwsm2014 manage the automotive embedded software (alexandre oriou)
Iwsm2014 manage the automotive embedded software (alexandre oriou)
PLANNING OF MOTION FOR THE PARKING OF ROAD VEHICLES
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IWSM2014 - Manage the Automotive Embedded Software Development Cost & Product...
IWSM2014 - Manage the Automotive Embedded Software Development Cost & Product...
How China NCAP is promoting the progress of automotive technical development ...
How China NCAP is promoting the progress of automotive technical development ...
virtual-system-integration-and-early-functional-validation-in-the-whole-vehic...
virtual-system-integration-and-early-functional-validation-in-the-whole-vehic...
TRAFFIC SIMULATION AT TOLL ROAD SECTION USING VISSIM SOFTWARE
TRAFFIC SIMULATION AT TOLL ROAD SECTION USING VISSIM SOFTWARE
Human Machine Interfaces in Low Carbon Vehicles - early adopter research
Human Machine Interfaces in Low Carbon Vehicles - early adopter research
Evolution of Vehicle aftter it has been released, How its made and managed
Evolution of Vehicle aftter it has been released, How its made and managed
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Driving Behavior for ADAS and Autonomous Driving II
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1:该专业认证可证明留学生真实身份
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3:国家专业人才认证中心颁发入库证书
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CalArts毕业证学历书【微信95270640】CalArts毕业证’圣力嘉学院毕业证《Q微信95270640》办理CalArts毕业证√文凭学历制作{CalArts文凭}购买学历学位证书本科硕士,CalArts毕业证学历学位证【实体公司】办毕业证、成绩单、学历认证、学位证、文凭认证、办留信网认证、（网上可查，实体公司，专业可靠）
(诚招代理)办理国外高校毕业证成绩单文凭学位证,真实使馆公证（留学回国人员证明）真实留信网认证国外学历学位认证雅思代考国外学校代申请名校保录开请假条改GPA改成绩ID卡
1.高仿业务:【本科硕士】毕业证,成绩单（GPA修改）,学历认证（教育部认证）,大学Offer,,ID,留信认证,使馆认证,雅思,语言证书等高仿类证书；
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-办理真实使馆公证（即留学回国人员证明）
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https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
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原版一模一样【微信：741003700 】【(爱大毕业证书)爱荷华大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
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如果您处于以下几种情况：
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留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(爱大毕业证书)爱荷华大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(爱大毕业证书)爱荷华大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
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校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(爱大毕业证书)爱荷华大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(爱大毕业证书)爱荷华大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
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2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building
Rainfall intensity duration frequency curve statistical analysis and modeling...
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
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Null Bangalore | Pentesters Approach to AWS IAM
#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/)
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Fornation Control of Platoons of Autonomous Vehicles
- 1. Formation Control for Platoons of Autonomous Vehicles Student : Chouaieb Nemri Supervisor : Prof. Cédric Pradalier
- 2. OUTLINE Introduction State of the Art Problem statement Suggested control solution Simulation Results Conclusion 4/27/2015 CHOUAIEB NEMRI – FORMATION CONTROL FOR PLATOONS OF AUTONOMOUS VEHICLES 2
- 3. INTRODUCTION 4/27/2015 CHOUAIEB NEMRI – FORMATION CONTROL FOR PLATOONS OF AUTONOMOUS VEHICLES 3
- 4. INTRODUCTION Safety Highway Capacity 4/27/2015 CHOUAIEB NEMRI – FORMATION CONTROL FOR PLATOONS OF AUTONOMOUS VEHICLES 4 Source : http://www.toyota- global.com/innovation/intelligent_transport_systems/images/The_Future_of_Mobility.pdf
- 5. INTRODUCTION Eco-friendly Less workforce 4/27/2015 CHOUAIEB NEMRI – FORMATION CONTROL FOR PLATOONS OF AUTONOMOUS VEHICLES 5
- 6. WHERE ARE WE NOW? Source : IHS 4/27/2015 CHOUAIEB NEMRI – FORMATION CONTROL FOR PLATOONS OF AUTONOMOUS VEHICLES 6
- 7. STATE OF THE ART Control law based on local/Global platoon data? Vehicle commands computed on central computer? Platooning Decentralized Global Local Centralized 4/27/2015 CHOUAIEB NEMRI – FORMATION CONTROL FOR PLATOONS OF AUTONOMOUS VEHICLES 7 Platooning approaches
- 8. STATE OF THE ART Accurate tracking. Depends on whole convoy data. Communication delays – Packet Loss – Data processing and transmission time 4/27/2015 CHOUAIEB NEMRI – FORMATION CONTROL FOR PLATOONS OF AUTONOMOUS VEHICLES 8 Centralized & Global decentralized architectures
- 9. STATE OF THE ART • No communication needed • Based exclusively on proprioceptive and exteroceptive sensors • Not as accurate as Global or Centralized approaches 4/27/2015 CHOUAIEB NEMRI – FORMATION CONTROL FOR PLATOONS OF AUTONOMOUS VEHICLES 9 Local decentralized architectures
- 10. PROBLEM STATEMENT 4/27/2015 CHOUAIEB NEMRI – FORMATION CONTROL FOR PLATOONS OF AUTONOMOUS VEHICLES 10 Lateral error propagation – proportional controller (video) Lateral error gets larger as we consider later Robots in the convoy
- 11. SUGGESTED CONTROL SOLUTION 4/27/2015 CHOUAIEB NEMRI – FORMATION CONTROL FOR PLATOONS OF AUTONOMOUS VEHICLES 11 © Jano Yazbeck, Alexis Scheuer and François Charpillet Université de Lorraine, LORIA Inria, MAIA team - FRANCE
- 12. SUGGESTED CONTROL SOLUTION Control Law Longitudinal SSC Proportional Lateral MemoLAT 4/27/2015 CHOUAIEB NEMRI – FORMATION CONTROL FOR PLATOONS OF AUTONOMOUS VEHICLES 12 Decoupling control components
- 13. SUGGESTED CONTROL SOLUTION A typical control loop 4/27/2015 CHOUAIEB NEMRI – FORMATION CONTROL FOR PLATOONS OF AUTONOMOUS VEHICLES 13 The Big Picture Compute Longitudinal Control Choose target and Compute Later Control Apply control laws Rebelotte Aquire and save predecessor’s position 1 2 3 4
- 14. SUGGESTED CONTROL SOLUTION Middleware : ROS indigo Simulation software : V-REP 4/27/2015 CHOUAIEB NEMRI – FORMATION CONTROL FOR PLATOONS OF AUTONOMOUS VEHICLES 14 Used simulation environment
- 15. SUGGESTED CONTROL SOLUTION IndivMarkersNoKinect • Detects the alvar markers and yields their coordinates in the camera frame Tracker • Adding new points to the path • Coordinate transform from previous frame to current frame everytime we update odometry • Delete old points Controller Computes and applies contol laws 4/27/2015 CHOUAIEB NEMRI – FORMATION CONTROL FOR PLATOONS OF AUTONOMOUS VEHICLES 15
- 16. SUGGESTED CONTROL SOLUTION Tracker •Sync_odo_cb : (left/right wheel encoders) - Odometry - Path coordinate transform - delete old points •Ar_cb : (AlvarMarkers) - Coordinate transform from camera frame to robot frame - add new point to path Controller •List_cb: (custom pointlists msg) - Computes current distance from predecessor. - Selects target point for MemoLAT •control_cb : (Timer 10 ms) - Longitudinal control : proportional law - Lateral control : Modified MemoLAT (Video) 4/27/2015 CHOUAIEB NEMRI – FORMATION CONTROL FOR PLATOONS OF AUTONOMOUS VEHICLES 16
- 17. SUGGESTED CONTROL SOLUTION Limited camera’s angle of view. Robots get lost when miss the AlvarMarkers 4/27/2015 CHOUAIEB NEMRI – FORMATION CONTROL FOR PLATOONS OF AUTONOMOUS VEHICLES 17 Solution : Combining 2 behaviours. MemoLAT & keeping the markers in the visible zone. (cost : less accuracy) w = alpha * keep_visible + (1-alpha) * MemoLAT
- 18. SIMULATION RESULTS Improved accuracy (Videos) Angular error as a function of time 4/27/2015 CHOUAIEB NEMRI – FORMATION CONTROL FOR PLATOONS OF AUTONOMOUS VEHICLES 18
- 19. SIMULATION RESULTS Small d_l • Small lateral deviation. • BUT creates oscillation around small curvature paths Large d_l • Large lateral deviation for high curvature paths 4/27/2015 CHOUAIEB NEMRI – FORMATION CONTROL FOR PLATOONS OF AUTONOMOUS VEHICLES 19 Effect of establishment distance We have no analytic relation in order to dynamically set a suitable value fo
- 20. CONCLUSION Platooning is awesome ! Lateral and longitudinal controls can be decoupled We suggested a high level controller. It is applicable to all kind of mobile robots Experimantal trials, setting dynamically the establishment distance… 4/27/2015 CHOUAIEB NEMRI – FORMATION CONTROL FOR PLATOONS OF AUTONOMOUS VEHICLES 20
- 21. THANK YOU. 4/27/2015 CHOUAIEB NEMRI – FORMATION CONTROL FOR PLATOONS OF AUTONOMOUS VEHICLES 21 Questions ?