Driverless Vehicles
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Tesla Autopilot : Semi Autonomous Driving, an Uptick for Future Autonomy
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 09 | Sep-2016 www.irjet.net p-ISSN: 2395-0072 Tesla Autopilot : Semi Autonomous Driving, an Uptick for Future Autonomy Shantanu Ingle1, Madhuri Phute2 1Department of E&TC, Pune Institute of Computer Technology, Pune, Maharashtra, India 2 Department of E&TC, Pune Institute of Computer Technology, Pune, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Manual driving has certainly changed the way response to traffic conditions. Once the driver arrives at the we travel and explore different parts of the globe, with total destination, Model S or Model X scans for a parking space human control and with human intuitions and previous and parallel parks on the driver's command[2]. In the new driving experiences. But manual control doesn’t ensure safety Autopilot, the instrument cluster’s new driver focused and zero fatalities in every possible driving condition. design shows the real-time information used by the car to Autonomous driving is the answer to that problem. However, intelligently determine the vehicle’s behavior in that artificial intelligence hasn't yet touched every aspect of moment relative to its surroundings[3]. Along with the technology. In this paper we present a brief overview about autopilot feature, the driving behavior of each Tesla car, how Tesla Motor’s semi autonomous driving technology called while navigating through different road conditions, is shared Tesla Autopilot is changing the way we navigate and transport to its central server. Based on machine learning and Tesla by incorporating state of the art current artificial intelligence design engineer recommendations, a new feature update is and hardware technology, and enhancing the next generation developed and launched to every other Tesla car on planet. -
Autonomous Vehicles
10/27/2017 Looming on the Horizon: Autonomous Vehicles Jim Hedlund Highway Safety North MN Toward Zero Deaths Conference October 26, 2017 St. Paul, MN In the next 25 minutes • AV 101 . What’s an autonomous vehicle (AV)? . What’s on the road now? . What’s coming and when? . What does the public think about AVs? . What are current state laws on AVs? • Traffic safety issues for states . AV testing . AV operations . What should states do . What should national organizations do 2 1 10/27/2017 Report released Feb. 2, 2017 3 Autonomous = self-driving, right? So what’s the challenge? • When all vehicles are autonomous: . The passenger economy: transportation as a service . No crashes (at least none due to driver error – about 94% currently) • And it’s coming soon . 26 states and DC with AV legislation or executive orders (and AVs probably can operate in most states without law changes) 4 2 10/27/2017 NCSL October 2017 www.ghsa.org @GHSAHQ 5 But … • It’s far more complicated than that 6 3 10/27/2017 What’s an AV? • Level 0: no automation, driver in complete control • Level 1: driver assistance . Cruise control or lane position, driver monitors at all times • Level 2: occasional self-driving . Control both speed and lane position in limited situations, like Interstates; driver monitors at all times ************** • Level 3: limited self-driving in some situations, like Interstates . Vehicle in full control, informs when driver must take control • Level 4: full self-driving under certain conditions . Vehicle in full control for entire trip, such as urban ride-sharing • Level 5: full self-driving at all times 7 What’s on the road now? • Level 1 available for many years . -
Development & Policy Forecast for Global and Chinese NEV Markets
Development & Policy Forecast for Global and Chinese NEV Markets in 2021 Invited by China EV 100, officials and experts from domestic and foreign government agencies, industry associations, research institutions and businesses attended the 7th China EV 100 Forum in January 15-17, 2021. The summary below captures the observations and insight of the speakers at the forum on the industry trend and policy forecast in the world and China in 2021. Ⅰ. 2021 Global & China Auto Market Trend 1. In 2021, the global auto market may resume growth, and the NEV boom is set to continue. 2020 saw a prevalent downturn of the auto sector in major countries due to the onslaught of COVID-19, yet the sales of NEVs witnessed a spike despite the odds, with much greater penetration in various countries. The monthly penetration of electric vehicles in Germany jumped from 7% to 20% in half a year and is expected to hit 12% in 2020, up 220% year on year; Norway reported an 80% market share of EVs in November, which is projected to exceed 70% for the whole year, topping the global ranking. Multiple consultancy firms foresee a comeback of global sales growth and a continuance of NEV boom in 2021 as coronavirus eases. 2. China's auto market as a whole is expected to remain stable in 2021, 1 with a strong boost in NEV sales. In 2020, China spearheaded global NEV market growth with record sales of 1.367 million units. The Development Research Center of the State Council expects overall auto sales to grow slightly in 2021, which ranges 0-2%. -
Public Support Measures for Connected and Automated Driving
Public support measures for connected and automated driving PUBLIC SUPPORT MEASURES FOR CONNECTED AND AUTOMATED DRIVING Final Report Tender No. GROW-SME-15-C-N102 within the Framework contract No. ENTR/300/PP/2013/FC Written by SPI, VTT and ECORYS May - 2017 Page | i Public support measures for connected and automated driving Europe Direct is a service to help you find answers to your questions about the European Union. Freephone number (*): 00 800 6 7 8 9 10 11 (*) The information given is free, as are most calls (though some operators, phone boxes or hotels may charge you). Reference No. GROW-SME-15-C-N102 Framework contract No. ENTR/300/PP/2013/FC 300/PP/2013/FC The information and views set out in this study are those of the authors and do not necessarily reflect the official opinion of the European Commission. The European Commission does not guarantee the accuracy of the data included in this study. Neither the European Commission nor any person acting on the European Commission’s behalf may be held responsible for the use which may be made of the information contained herein. More information on the European Union is available on the Internet (http://www.europa.eu). ISBN 978-92-9202-254-9 doi: 10.2826/083361 AUTHORS OF THE STUDY Sociedade Portuguesa de Inovação (SPI – Coordinator): Augusto Medina, Audry Maulana, Douglas Thompson, Nishant Shandilya and Samuel Almeida. VTT Technical Research Centre of Finland (VTT): Aki Aapaoja and Matti Kutila. ECORYS: Erik Merkus and Koen Vervoort Page | ii Public support measures for connected and automated driving Contents Acronym Glossary ................................................................................................ -
3.17.2020 Request for Feedback on AV Legislation Staff Draft Sections
TO: Majority and Minority Staff of Senate Commerce, Science, and Transportation Committee and House Energy and Commerce Committee FROM: Advocates for Highway and Auto Safety, Consumer Federation of America, KidsAndCars.org, and Trauma Foundation DATE: March 17, 2020 RE: Request for Input on Draft Autonomous Vehicle Legislative Language Introduction Thank you for the opportunity to provide feedback to the final seven sections of potential autonomous vehicle (AV) legislation. Please note that in the attached redlined draft legislative language, there may be additional recommendations not necessarily included in this memo. Similarly, in this memo we detail concerns which may not be directly attached to the redlined legislative language as well as provide justifications for changes we did redline. As you have announced that you have completed the distribution of draft legislative sections, we would like to reiterate that stakeholder feedback should be shared publicly to provide transparency and the opportunity for collaboration as well as the identification of shared policy priorities in order to forge a path forward on the Nation’s first AV law. Because this law will have long-lasting and wide-reaching impacts on safety for all road users, infrastructure, mobility, accessibility, the environment and land use, public transit, first responders and law enforcement, it must be done with robust discussion, debate and deliberation. We would like to begin by reiterating our safety priorities and policy positions that are also included in more detail in our previous memos. They remain relevant and vital in developing any legislation on AVs. In sum, they are: • Our Nation’s first law on AVs must ensure the safe development and deployment of all AVs, including partially automated vehicles whether for sale or use as a pay-for mobility option. -
Waymo Rolls out Autonomous Vans Without Human Drivers 7 November 2017, by Tom Krisher
Waymo rolls out autonomous vans without human drivers 7 November 2017, by Tom Krisher get drowsy, distracted or drunk. Google has long stated its intent to skip driver- assist systems and go directly to fully autonomous driving. The Waymo employee in the back seat won't be able to steer the minivan, but like all passengers, will be able to press a button to bring the van safely to a stop if necessary, Waymo said. Within a "few months," the fully autonomous vans will begin carrying volunteer passengers who are now taking part in a Phoenix-area test that includes use of backup drivers. Waymo CEO John Krafcik, who was to make the In this Sunday, Jan. 8, 2017, file photo, a Chrysler announcement Tuesday at a conference in Pacifica hybrid outfitted with Waymo's suite of sensors Portugal, said the company intends to expand the and radar is shown at the North American International testing to the entire 600-square-mile Phoenix area Auto Show in Detroit. Waymo is testing vehicles on and eventually bring the technology to more cities public roads with only an employee in the back seat. The around the world. It's confident that its system can testing started Oct. 19 with an automated Chrysler Pacifica minivan in the Phoenix suburb of Chandler, Ariz. handle all situations on public roads without human It's a major step toward vehicles driving themselves intervention, he said. without human backups on public roads. (AP Photo/Paul Sancya, File) "To have a vehicle on public roads without a person at the wheel, we've built some unique safety features into this minivan," Krafcik said in remarks prepared for the conference. -
In the Court of Chancery of the State of Delaware
EFiled: Sep 06 2016 07:12PM EDT Transaction ID 59520160 Case No. 12723- IN THE COURT OF CHANCERY OF THE STATE OF DELAWARE ELLEN PRASINOS, derivatively on behalf ) TESLA MOTORS, INC., ) ) Plaintiff, ) ) vs. ) ) C.A. No. ELON MUSK, BRAD W. BUSS, ROBYN ) M. DENHOLM, IRA EHRENPREIS, ) ANTONIO J. GRACIAS, STEPHEN T. ) JURVETSON, KIMBAL MUSK, ) LYNDON RIVE, PETER RIVE, JOHN H. ) N. FISHER, JEFFREY B. STRAUBEL, D ) SUBSIDIARY, INC., AND SOLARCITY ) CORPORATION, ) ) Defendants, ) ) -and- ) ) TESLA MOTORS, INC., a Delaware ) Corporation, ) ) Nominal Defendant ) VERIFIED STOCKHOLDER DERIVATIVE COMPLAINT Plaintiff Ellen Prasinos (“Plaintiff”), by and through her undersigned counsel, assert this action derivatively on behalf of Tesla Motors, Inc. (“Telsa” or the “Company”) against defendants Elon Musk, Brad W. Buss, Robyn M. Denholm, Ira Ehrenpreis, Antonio J. Gracias, Stephen T. Jurvetson and Kimbal Musk (collectively, the “Board” or the “Director Defendants”), along with Lyndon Rive, Peter Rive, John H. N. Fisher, J.B. Straubel, D Subsidiary, Inc., and 1 ME1 23271632v.1 SolarCity Corporation (“SolarCity”). Plaintiff alleges, upon information and belief based upon, inter alia , the investigation made by her attorneys, except as to those allegations that pertain to the Plaintiff herself, which are alleged upon knowledge, as follows: SUMMARY OF THE ACTION 1. Elon Musk (“Musk”), a smart and charismatic businessman, wants to save the world by “making life multi-planetary”, and “expedit[ing] the move from a mine-and-burn hydrocarbon economy towards a solar electric economy.” While Musk’s goal to save the world may be admirable, he uses unethical and illegal tactics to achieve that goal, especially when his personal financial interests and legacy are at stake. -
ADVANCED DRIVER ASSISTANCE SYSTEMS (ADAS) JUNE 2019 a Guide to Advanced Driver Assistance Systems
ADVANCED DRIVER ASSISTANCE SYSTEMS (ADAS) JUNE 2019 A Guide to Advanced Driver Assistance Systems As technology becomes more advanced, a growing number of vehicles are being built with intelligent systems to help motorists. Advanced Driver Assistance Systems, or ADAS, is a term used to describe these smart features. ADAS includes relatively simple features like rear view cameras to help with parking through to more complicated systems like Lane Departure Warning (LDW) that can detect a vehicle’s surroundings. These advanced systems can actually take some control of the vehicle, such as Autonomous Emergency Braking (AEB). In this guide, we describe the ADAS technology available and their benefits, which could be useful when you and your drivers are selecting your next vehicle. What is ADAS? Whether your car has adaptive high beams, a collision detection system or autonomous night vision, these are all classed as Advanced Driver Assistance Systems (ADAS). If you and your drivers understand what these smart features are and what they do, you can get the most benefit from them, improving your driving experience and making other road users safer. Please be aware that the information in this guide is correct as at June 2019 but things move fast in this area. 1 A guide to advanced driver assistance systems Light Assisted Technology AFLS - Adaptive Front Lighting System System that automatically turns the headlight beam to the right or left dependent on the vehicle’s direction. AHBC – Adaptive High Beam Control ALC - Adaptive Light Control Detects oncoming traffic and vehicles in front, automatically adjusting the headlamp beam high and low. -
AN ADVANCED VISION SYSTEM for GROUND VEHICLES Ernst
AN ADVANCED VISION SYSTEM FOR GROUND VEHICLES Ernst Dieter Dickmanns UniBw Munich, LRT, Institut fuer Systemdynamik und Flugmechanik D-85577 Neubiberg, Germany ABSTRACT where is it relative to me and how does it move? (VT2) 3. What is the likely future motion and (for subjects) intention of the object/subject tracked? (VT3). These ‘Expectation-based, Multi-focal, Saccadic’ (EMS) vision vision tasks have to be solved by different methods and on has been developed over the last six years based on the 4- different time scales in order to be efficient. Also the D approach to dynamic vision. It is conceived around a fields of view required for answering the first two ‘Multi-focal, active / reactive Vehicle Eye’ (MarVEye) questions are quite different. Question 3 may be answered with active gaze control for a set of three to four more efficiently by building on the results of many conventional TV-cameras mounted fix relative to each specific processes answering question 2, than by resorting other on a pointing platform. This arrangement allows to image data directly. both a wide simultaneous field of view (> ~ 100°) with a Vision systems for a wider spectrum of tasks in central region of overlap for stereo interpretation and high ground vehicle guidance have been addresses by a few resolution in a central ‘foveal’ field of view from one or groups only. The Robotics Institute of Carnegie Mellon two tele-cameras. Perceptual and behavioral capabilities University (CMU) [1-6] and DaimlerChrysler Research in are now explicitly represented in the system for improved Stuttgart/Ulm [7-12] (together with several university flexibility and growth potential. -
A Hierarchical Control System for Autonomous Driving Towards Urban Challenges
applied sciences Article A Hierarchical Control System for Autonomous Driving towards Urban Challenges Nam Dinh Van , Muhammad Sualeh , Dohyeong Kim and Gon-Woo Kim *,† Intelligent Robotics Laboratory, Department of Control and Robot Engineering, Chungbuk National University, Cheongju-si 28644, Korea; [email protected] (N.D.V.); [email protected] (M.S.); [email protected] (D.K.) * Correspondence: [email protected] † Current Address: Chungdae-ro 1, Seowon-Gu, Cheongju, Chungbuk 28644, Korea. Received: 23 April 2020; Accepted: 18 May 2020; Published: 20 May 2020 Abstract: In recent years, the self-driving car technologies have been developed with many successful stories in both academia and industry. The challenge for autonomous vehicles is the requirement of operating accurately and robustly in the urban environment. This paper focuses on how to efficiently solve the hierarchical control system of a self-driving car into practice. This technique is composed of decision making, local path planning and control. An ego vehicle is navigated by global path planning with the aid of a High Definition map. Firstly, we propose the decision making for motion planning by applying a two-stage Finite State Machine to manipulate mission planning and control states. Furthermore, we implement a real-time hybrid A* algorithm with an occupancy grid map to find an efficient route for obstacle avoidance. Secondly, the local path planning is conducted to generate a safe and comfortable trajectory in unstructured scenarios. Herein, we solve an optimization problem with nonlinear constraints to optimize the sum of jerks for a smooth drive. In addition, controllers are designed by using the pure pursuit algorithm and the scheduled feedforward PI controller for lateral and longitudinal direction, respectively. -
Paving the Way to Self-Driving Cars with ADAS (Rev. A)
Paving the way to self-driving cars with advanced driver assistance systems Hannes Estl Worldwide Systems Marketing for Advanced Driver Assistance Systems (ADAS), Texas Instruments Recent publicity has attracted the public eye to the development of automated vehicles, especially Google’s experimental cars that have logged thousands of self-driven miles with minimal help from human drivers. These events are truly impressive, and in the long term will help revolutionize vehicle operation and our experience of driving. But the excitement about self-driving cars can make it easy to overlook numerous short-term developments by automotive manufacturers that are equally important in transforming the act of driving. Collectively known as Advanced Driver Assistance Systems (ADAS), these developments are designed to make cars safer, and their gradual introduction is already improving road safety. In addition, ADAS features represent an evolution in vehicle sensing, intelligence and control that will ultimately lead to self-driving cars. ADAS technologies exist at different levels of active Volume production of automobiles with fully assistance and are being introduced in overlapping autonomous control is probably a decade away stages. Driver information systems, such as simple at this time, although as today’s experiments rear-view cameras, surround-view displays, and demonstrate, the essential technology for self- blind spot and lane departure warnings, provide driving cars already exists. However, advanced information but leave the driver in full control at all electronic systems take up much of the space in times. Partially autonomous systems, such as lane- automated test vehicles and are far more expensive keep assistance and active cruise control, enable than the cars themselves. -
An Introduction of Autonomous Vehicles and a Brief Survey
Journal of Critical Reviews ISSN- 2394-5125 Vol 7, Issue 13, 2020 AN INTRODUCTION OF AUTONOMOUS VEHICLES AND A BRIEF SURVEY 1Tirumalapudi Raviteja, 2Rajay Vedaraj I.S 1Research Scholar, School of Mechanical Engineering, Vellore instutite of technology, Tamilnadu, India, Email: [email protected] . 2Professor, School of Mechanical Engineering, Vellore instutite of technology, Tamilnadu, India, Email: [email protected] Received: 09.04.2020 Revised: 10.05.2020 Accepted: 06.06.2020 Abstract: An autonomous car is also called a self-driving car or driverless car or robotic car. Whatever the name but the aim of the technology is the same. Down the memory line, autonomous vehicle technology experiments started in 1920 only and controlled by radio technology. Later on, trails began in 1950. From the past few years, updating automation technology day by day and using all aspects of using in regular human life. The present scenario of human beings is addicted to automation and robotics technology using like agriculture, medical, transportation, automobile and manufacturing industries, IT sector, etc. For the last ten years, the automobile industry came forward to researching autonomous vehicle technology (Waymo Google, Uber, Tesla, Renault, Toyota, Audi, Volvo, Mercedes-Benz, General Motors, Nissan, Bosch, and Continental's autonomous vehicle, etc.). Level-3 Autonomous cars came out in 2020. Everyday autonomous vehicle technology researchers are solving challenges. In the future, without human help, robots will manufacture autonomous cars using IoT technology based on customer requirements and prefer these vehicles are very safe and comfortable in transportation systems like human traveling or cargo. Autonomous vehicles need data and updating continuously, so in this case, IoT and Artificial intelligence help to share the information device to the device.