The document discusses several technologies expected to be implemented in autonomous vehicles by 2020, including vehicle-to-vehicle communication allowing cars to share information to avoid accidents, augmented reality windshields displaying information about surrounding locations, energy-storing body panels to improve battery efficiency, and personalized presets tailored to individual drivers. While autonomous vehicles may reduce accidents and traffic and increase accessibility, challenges include liability issues, reluctance to give up control, software reliability, and the need to establish legal frameworks for regulation. Public opinion surveys show growing acceptance of self-driving car technology, with some major automakers expecting to offer fully autonomous vehicles by 2020.
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
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
An autonomous vehicle is a kind of vehicle which can drive itself to the destination without any human
conduction. This is also known as driverless vehicle, self-driving vehicle or robot vehicle. Autonomous
vehicles require the combination of various sensors to detect their surroundings and interpret the
information to identify the appropriate navigation path and the obstacles in the way.
Modern vehicles provide some autonomous features like speed controls, emergency braking or keeping
the vehicle into the lane. Here, differences remain between a fully autonomous vehicle on one hand
and driver assistance technologies on the other hand.
it is a presentation on auto driving car or driverless car . it is a group presentation on auto driving car for power system analysis course from American International University Bangladesh (AIUB) .
Google Self Driving Cars
The Google Self-Driving Car is a project by Google that involves developing technology for autonomous cars. The software powering Google's cars is called Google Chauffeur. Lettering on the side of each car identifies it as a "self-driving car". The project is currently being led by Google engineer Sebastian Thrun, former director of the Stanford Artificial Intelligence Laboratory and co-inventor of Google Street View. Thrun's team at Stanford created the robotic vehicle Stanley which won the 2005 DARPA Grand Challenge and its US$2 million prize from the United States Department of Defense. The team developing the system consisted of 15 engineers working for Google, including Chris Urmson, Mike Montemerlo, and Anthony Levandowski who had worked on the DARPA Grand and Urban Challenges.
Legislation has been passed in four states and the District of Columbia allowing driverless cars. The U.S. state of Nevada passed a law on June 29, 2011, permitting the operation of autonomous cars in Nevada, after Google had been lobbying in that state for robotic car laws. The Nevada law went into effect on March 1, 2012, and the Nevada Department of Motor Vehicles issued the first license for an autonomous car in May 2012, to a Toyota Prius modified with Google's experimental driverless technology. In April 2012, Florida became the second state to allow the testing of autonomous cars on public roads, and California became the third when Governor Jerry Brown signed the bill into law at Google HQ in Mountain View. In July 2014, the city of Coeur d'Alene, Idaho adopted a robotics ordinance that includes provisions to allow for self-driving cars.
Videos
https://www.youtube.com/channel/UCCLyNDhxwpqNe3UeEmGHl8g
Research presentation on Autonomous Driving. Direction perception approach.
Research work by Princeton University group.
Note: Link given in the presentation
After decades of anticipation, practical self-driving cars are here. Drive.ai will deploy a self-driving car service for public use in Texas starting in July.
We can continue pushing self-driving forward by focusing on three key elements: industry-leading AI technology, local partnerships, and people-centric safety.
Artificial intelligence in autonomous vehicleGwenaël C
Présentation réalisé pour le cours d'anglais de la Licence 3 Miashs parcours Miage réalisée l'université de Toulouse Capitole conjointement à l'université Toulouse Paul Sabatier
Under this topic i have described about the autonomous cars, on which worlds top automobile and tech giants are working like google, ford, BMW, audi etc.
An autonomous vehicle is a kind of vehicle which can drive itself to the destination without any human
conduction. This is also known as driverless vehicle, self-driving vehicle or robot vehicle. Autonomous
vehicles require the combination of various sensors to detect their surroundings and interpret the
information to identify the appropriate navigation path and the obstacles in the way.
Modern vehicles provide some autonomous features like speed controls, emergency braking or keeping
the vehicle into the lane. Here, differences remain between a fully autonomous vehicle on one hand
and driver assistance technologies on the other hand.
it is a presentation on auto driving car or driverless car . it is a group presentation on auto driving car for power system analysis course from American International University Bangladesh (AIUB) .
Google Self Driving Cars
The Google Self-Driving Car is a project by Google that involves developing technology for autonomous cars. The software powering Google's cars is called Google Chauffeur. Lettering on the side of each car identifies it as a "self-driving car". The project is currently being led by Google engineer Sebastian Thrun, former director of the Stanford Artificial Intelligence Laboratory and co-inventor of Google Street View. Thrun's team at Stanford created the robotic vehicle Stanley which won the 2005 DARPA Grand Challenge and its US$2 million prize from the United States Department of Defense. The team developing the system consisted of 15 engineers working for Google, including Chris Urmson, Mike Montemerlo, and Anthony Levandowski who had worked on the DARPA Grand and Urban Challenges.
Legislation has been passed in four states and the District of Columbia allowing driverless cars. The U.S. state of Nevada passed a law on June 29, 2011, permitting the operation of autonomous cars in Nevada, after Google had been lobbying in that state for robotic car laws. The Nevada law went into effect on March 1, 2012, and the Nevada Department of Motor Vehicles issued the first license for an autonomous car in May 2012, to a Toyota Prius modified with Google's experimental driverless technology. In April 2012, Florida became the second state to allow the testing of autonomous cars on public roads, and California became the third when Governor Jerry Brown signed the bill into law at Google HQ in Mountain View. In July 2014, the city of Coeur d'Alene, Idaho adopted a robotics ordinance that includes provisions to allow for self-driving cars.
Videos
https://www.youtube.com/channel/UCCLyNDhxwpqNe3UeEmGHl8g
Research presentation on Autonomous Driving. Direction perception approach.
Research work by Princeton University group.
Note: Link given in the presentation
After decades of anticipation, practical self-driving cars are here. Drive.ai will deploy a self-driving car service for public use in Texas starting in July.
We can continue pushing self-driving forward by focusing on three key elements: industry-leading AI technology, local partnerships, and people-centric safety.
Artificial intelligence in autonomous vehicleGwenaël C
Présentation réalisé pour le cours d'anglais de la Licence 3 Miashs parcours Miage réalisée l'université de Toulouse Capitole conjointement à l'université Toulouse Paul Sabatier
Under this topic i have described about the autonomous cars, on which worlds top automobile and tech giants are working like google, ford, BMW, audi etc.
This is a presentation that focuses on autonomous vehicles technology. The presentation describes key sensor technologies integrated under the bonnet of a driverless car. After a brief introduction, the presentation dwells deeper into each sensor technology demonstrating examples of self driving cars such as Google's self driving car, DARPA URBAN challenge etc., along the way. It also introduces the concept of electronic control units which is responsible for collecting data from different sensors and respond to other units accordingly. The slides also build a platform for vehicle to vehicle communication technology, types and its application areas.
The autonomous vehicle, driverless or self-driving car will be one of the greatest technological developments of the next decade (if not all time).
It will profoundly change life on earth.
For the past century our car-centric culture has shaped infrastructure and ideals, landscape and lifestyle, ethics and enterprise. We rely on the mobility that cars provide us more than ever, but the car’s purpose and meaning changes as the driver fades out.
When the car drives itself, what we do in our cars and with our cars is exponentially different. When the car is intelligent, intuitive and adaptive, our relationship to the car alters. When the car builds itself, environments and economies are reshaped.
This report looks at the players, technologies and trends in the autonomous vehicle space and paints a picture of probable futures for citizens, businesses and marketers.
Buckle up. Bumpy roads ahead.
Autonomous Vehicles: Technologies, Economics, and OpportunitiesJeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of autonomous vehicles are improving rapidly. LIDAR, other sensors, ICs, and wireless are experiencing rapid improvements that are enabling the overall cost of AVs to fall. For example, the latency of wireless systems is improving rapidly thus enabling vehicles to be controlled with wireless systems. This is also creating many new opportunities in the vehicle industry in the Internet of Things, data analytics, and logistics. The slides include a detailed discussion of AVs in Singapore, a likely early adopter.
Study: The Future of VR, AR and Self-Driving CarsLinkedIn
We asked LinkedIn members worldwide about their levels of interest in the latest wave of technology: whether they’re using wearables, and whether they intend to buy self-driving cars and VR headsets as they become available. We asked them too about their attitudes to technology and to the growing role of Artificial Intelligence (AI) in the devices that they use. The answers were fascinating – and in many cases, surprising.
This SlideShare explores the full results of this study, including detailed market-by-market breakdowns of intention levels for each technology – and how attitudes change with age, location and seniority level. If you’re marketing a tech brand – or planning to use VR and wearables to reach a professional audience – then these are insights you won’t want to miss.
Sensors and Data Management for Autonomous Vehicles report 2015 by Yole Devel...Yole Developpement
Multiple sensing technologies will ensure many market opportunities for Tier 1 players, Tier 2 players, and newcomers alike
Sensor technologies are a driving force in making fully autonomous vehicles a reality. Automakers are racing to develop safe self-driving cars, but this race is a distance run more than a sprint, where multiple automation stages will imply multiple sensors. Ultrasonic sensors, radars, and multiple cameras systems are already embedded in high-end vehicles -- and within 10 years, they could also include long-range cameras, LIDAR, micro bolometer and accurate dead reckoning. These devices will work concurrently and each technology will support another to ensure codependency and avoid concerns. Even though sensors are only part of the puzzle, their market opportunities are promising.
How autonomous cars are going to change our future - and what we can do to op...Matthijs Pontier
How autonomous cars are going to change our future - and what we can do to optimize that
How self-driving cars are going to change the future of mobility dr. Matthijs Pontier
2. Science Fiction becoming reality Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
3. History • Autopiloting in airplanes since 1914 • PRT-systems since 1975 • London Heathrow since 2011 Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
4. Total Recall Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
5. Now • Delivery drones • Driverless public transport • Driverless personal cars • Car-sharing increasingly popular • Driverless will become standard in 2025~2035 Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
6. Without hands Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
7. Cars that free your time to do other things
8. More comfort Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
9. Road safety ;) Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
10. Drinking Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
11. Less road rage Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
12. No more speeding tickets or parking fees Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
13. Why bother owning a car? • Building vehicles vs Enabling mobility • Making cars look different is easy • No more parking lots Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
14. More room for people and plants Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
15. Road safety Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
16. Boosting highway capacity 273% Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
17. Boosting Highway capacity Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
18. Driving fast and safe Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
19. Save energy Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
20. More traffic at night Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
21. Less flying Matthijs Pontier, 22-03-2016 TU/e, How self-driving cars are going to change the future of mobility
22. Putting a halt to urbanization?
[Updated 2/27/17] Brian Solis, principal analyst of Altimeter, a Prophet Company, has tracked the autonomous industry for two years and has assembled the most comprehensive report on “The State of The Autonomous Driving.” The updated report features the latest developments among companies driving the future, including 76 automakers, startups and universities. The report also includes an infographic that organizes all of the companies by technology focus and its open to third party creative commons use. This report will be updated regularly, if you would like to contribute updates please contact Brian via email at brian@altimetergroup.com
Junli Gu at AI Frontiers: Autonomous Driving RevolutionAI Frontiers
Autonomous driving has gain enormous attention and momentum in the past year, due to its potential huge impact on car industry. Junli Gu's talk summarizes the current trends and on-going efforts of driver-less cars. Her talk highlights the technical challenges and share some insights in how machine learning might lead us to the path.
Autonomous cars, car sharing and electric vehiclesAnandRaoPwC
Talk presented at the second Autonomous Cars conference hosted by SwissRe in Armonk, NY on September 24, 2015. The talk covers the interaction between car sharing, autonomous cars and electric vehicles and how the feedback between these three areas will propel greater consumer adoption.
Imaging Technologies for Automotive 2016 Report by Yole Developpement Yole Developpement
Imaging technology, which is currently mainly cameras, is exploding into the automotive space, and is set to grow at 20% CAGR to reach $7.3B in 2021
INFOTAINMENT AND ADVANCED DRIVER ASSISTANCE SYSTEMS (ADAS) PROPEL AUTOMOTIVE IMAGING
Since 2008, when a recession acted as a wakeup call to the whole industry, the automotive market has undergone obvious structural change. Capitalizing on technologies initially developed for smartphones, electronics have invaded, and imaging technology is now taking center stage. From less than one camera per car on average in 2015, there will be more than three cameras per car by 2021, which means 371 million automotive imaging devices.
Cameras were initially mounted for ADAS purposes on high-end vehicles, with deep learning image analysis techniques promoting early adoption. The Israeli company Mobileye has been instrumental in bringing this technology to market, along with On Semiconductor, which provided the CMOS image sensor. Copycat competition will probably pick up as the market now justifies initial investment in design and technology. It is now a well-established fact that vision-based autonomous emergency braking (AEB) is possible and saves life. Adoption of forward ADAS cameras will therefore accelerate.
Growth of imaging for automotive is also being fueled by the park assist application, and 360° surround view camera volume is skyrocketing. While it’s becoming mandatory in the US to have a rearview camera, that uptake is dwarfed by 360° surround view cameras, which enable a “bird’s eye view” perspective. This trend is most beneficial to companies like Omnivision at sensor level and Panasonic and Valeo, which have become the main manufacturers of automotive cameras.
Mirror replacement cameras are currently the big unknown and take-off will primarily depend on its appeal and car design regulation. Europe and Japan are at the forefront of this trend, which should become slightly significant by 2021.
Solid state lidar is well talked about and will start to be found in high end cars by 2021. Cost reduction will be a key driver as the push for semi-autonomous driving will be felt more strongly by car manufacturers. The report will analyse the impact of lidar for automotive vision in detail.
Night vision cameras using Long Wave Infrared (LWIR) technology were initially perceived as a status symbol. However, they’re increasingly appreciated for their ability to automatically detect pedestrians and wildlife. LWIR will therefore become integrated into ADAS systems in future.
3D cameras will be limited to in-cabin infotainment and driver monitoring. This technology will be key for luxury cars and therefore is of limited use today.
If any significant semi-autonomous trend picks up, the technology will probably become mandatory, due to safety issues.
More information on that report at http://www.i-micronews.com/reports.html
Webinar on Key Areas of Connectivity Focus at Various Levels of Autonomous Driving by Stephen Surhigh, Vice President & General Manager, Cloud Services at HARMAN International
With increasingly autonomous capabilities and a declining interest in ownership, the auto industry needs to focus on in-transit innovation, purpose-driven design and a transition to a service-based business model.
Acknowledgement
Introduction
What Is A Self-driving Car?
Reason Behind The Making?
Self-driving Car Technology: How Do Driverless Cars Work?
How Fast Is 5G?
Basic Physical Ecosystem Of An Autonomous Vehicle
Key Components Of Self-driving Vehicles
Impacts Of Self-driving Vehicles
Potential Concerns
Major Applications
Conclusion
References
The topic of driverless cars has caught the imaginations of many people. Who wouldn’t want to relax as his car drove him to work, then parked itself? Families could reduce the amount of vehicles if mom could take the car to work then send it home so another family member could do errands, go to the doctor, take the cat to the vet, or other tasks. To many this seems like a fantasy come true; in reality it is a fantasy that is going to be realized in the not too distant future.
While not all business and societal implications can be covered in this article, the insurance and regulatory implications are key to the future of this technology becoming readily available to the consuming public.
Most cars are now equipped with intelligent assistance systems. However, the connection of vehicles to each other, to traffic lights, congestion warning systems and infrastructure is still in its infancy. Connected Mobility is a key future market that holds many pitfalls. In this regard, the automotive sector can benefit from the methods of Corporate Foresight.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
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Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
2. Content
Introduction
V2V Communication
Augmented Reality Windshields
Energy Storing Body Panels
Personal Preference Pre-sets
Advantages
Disadvantages or Obstacles
Public Opinion Surveys
Conclusion
3. Self Driving Cars
Self driving cars are also known as driverless car, self driving car or robotic car.
Autonomous vehicles sense their surroundings with techniques such as radar, lidar,
GPS, and computer vision.
4. Self Driving Cars
This might be the single biggest technology that will hit the automobile
industry.
It might seem like an idea from an old sci-fi movie or some Japanese
anime, but google is already in the process of testing out the prototypes.
Currently the design has drawn a lot of flak but tie
ups with major automobile giants can push this
Technology into the main stream.
5.
6. V2V Car Communication
V2V stands for vehicle to vehicle communication.
Cars will be equipped with sensors and communication mechanisms that
will enable them to transfer data to each other. This will help avoid
accidents, chalk out new routes in case of log jams. For example if the
driver of one car were to jump he traffic lights other cars in the vicinity
would be notified to slow down in order to avoid any accident.
Also V2I i.e. vehicle to infrastructure seems another possible avenue which
can prove useful. For e.g. slow down or stop signs can signal cars to slow
down or stop in specific areas such as schools or hospitals.
7.
8. Augmented Reality Windshields
These will be similar to the Nokia City Lens features but on the windshield.
Here, all the places being viewed through the screen have basic details
shown beside them and you can use gestures to select and obtain more
details about the place.
BMW is already testing this out with basic data of places being displayed
on the windshield of its prototype. But this technology has the potential to
have the whole UI of the in-built computer to be displayed on the
windshield.
9.
10. Energy Storing Body Panels
These panels are fashioned out of thin yet tough materials used in
satellites. They have tremendous energy storing capacity and are much
more efficient as compared to the lithium ion batteries in cars today.
These panels can be integrated with solar panels to store energy, the
dynamo in the wheels to store energy generated when driving and also
through the friction generated during breaking.
11.
12. Personal Preference Pre-sets
Cars to have intuitive bots that record every drivers’ preferences and
habits and thus offers a better and personal driving experience to each
driver.
For e.g. the temperature settings, pre checking daily routes for jams and
accidents etc.
13. Advantages
An increase in the use of autonomous cars would make possible such
benefits as:
Fewer traffic collisions, due to an autonomous system's increased reliability
and faster reaction time compared to human drivers.
Increased roadway capacity and reduced traffic congestion due to
reduced need for safety gaps and the ability to better manage traffic
flow.
Relief of vehicle occupants from driving and navigation chores.
Higher speed limit for autonomous cars.
14. Advantages
Removal of constraints on occupants' state – in an autonomous car, it
would not matter if the occupants were under age, over age, unlicensed,
blind, distracted, intoxicated, or otherwise impaired.
Alleviation of parking scarcity, as cars could drop off passengers, park far
away where space is not scarce, and return as needed to pick up
passengers.
Reduction of physical space required for vehicle parking.
Elimination of redundant passengers – the robotic car could drive
unoccupied to wherever it is required, such as to pick up passengers or to
go in for maintenance. This would be especially relevant to trucks, taxis
and car-sharing services.
15. Advantages
Reduction in the need for traffic police and vehicle insurance.
Reduction of physical road signage – autonomous cars could receive
necessary communication electronically (although physical signs may still
be required for any human drivers).
Smoother ride.
Reduction in car theft, due to the vehicle's self-awareness.
16. Disadvantages Or Obstacles
In spite of the various benefits to increased vehicle automation, some
foreseeable challenges persist:
Liability for damage.
Resistance by individuals to forfeit control of their cars.
Software reliability.
A car's computer could potentially be compromised, as could a
communication system between cars.
Implementation of legal framework and establishment of government
regulations for self-driving cars.
17. Disadvantages Or Obstacles
Drivers being inexperienced if situations arose requiring manual driving.
Loss of driving-related jobs.
Loss of privacy.
Competition for the radio spectrum desired for the car's communication.
Self-driving cars could potentially be loaded with explosives and used as
bombs.
Ethical problems analogous to the trolley problem arise in situations where
an autonomous car's software is forced during an unavoidable crash to
choose between multiple harmful courses of action.
18. Disadvantages Or Obstacles
Susceptibility of the car's navigation system to different types of weather. (As of 2014
Google's prototype has not driven in snow or heavy rain.)
Autonomous cars may require very high-quality specialized maps to operate properly.
These maps would be costly to produce for roads worldwide. Where these maps may
be out of date, they would need to be able to fall back to reasonable behaviors.
Autonomous cars have to be able to respond correctly to police and other pedestrian
gestures and non-verbal cues.
To function optimally autonomous cars need changes in road infrastructure with many
design and cost implications. For example, traffic lights may need to be re-designed
and upgraded to communicate with the vehicles and street lighting may need to be
re-designed. These changes may have profound social, legal and financial
implications.
19. Public Opinion Surveys
In a 2011 online survey of US and UK consumers by Accenture, 49% said
they would be comfortable using a "driverless car".
A 2012 survey 37% initially said they would be interested in purchasing a
fully autonomous car. However, that figure dropped to 20% when told the
technology would cost $3,000 more.
A 2013 survey across 10 countries found a full 57% "stated they would be
likely to ride in a car controlled entirely by technology that does not
require a human driver", with Brazil, India and China the most willing to
trust autonomous technology.
In a 2014 three-quarters of licensed drivers said they would at least
consider buying a self-driving car, rising to 86%.
20. Official Predictions
By 2015, Audi plans to market vehicles that can autonomously steer,
accelerate and brake at lower speeds, such as in traffic jams.
By 2016, Mobileye expects to release fully autonomous car technology.
By 2020, Google expects to release their autonomous car technology,
which is a tie up with Toyota.
By 2020, BMW, Nissan and Mercedes-Benz all expect to sell autonomous
cars.
21. Conclusion
The most effective gain of this system will be control on traffic congestions
and avoiding accidents. The public opinion surveys in all these past years
clearly shows the growing interest of an autonomous car and, technology
is in favour of it.
So the time is not far ‘2020’ when we are going to have our self controlled
vehicles and we say “THE FUTURE OF AUTOMOBILES IS HERE”.