Global Guide to Autonomous Vehicles 2021
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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 . -
Complete 2020 Annual Report (PDF)
2020 REPORT TO THE COMMUNITY Youth wade into Crissy Field Marsh during Project WISE in fall 2019 (See story, page 5). Crissy Field Center moves into new space at DEAR FRIEND the Tunnel Tops in 2021. We’ll improve those trails we missed so much. We’ll welcome back OF THE PARKS, our volunteers and visitors with open arms—or maybe a friendly wave. With our partners, our hat a year to start as only the second focus on making parks accessible for all—so W CEO in the history of the Golden Gate that everyone feels welcome in parks and can National Parks Conservancy. Throughout this enjoy the many health benefits of nature—is Report to the Community, we shine a light on more important now than ever. our major accomplishments of 2019. We had That’s why I’m so grateful for my first year no idea what was just around the corner. at the helm of the Parks Conservancy. I’ve I came into this job believing strongly in gotten to see the park spirit shine bright under the power of national parks to inspire and the toughest conditions. The snapshot of heal. The Bay Area shelter-in-place orders 2019 you’ll get in this report shows us what’s somehow strengthened that conviction. When possible for our long-term future, and I can’t we lose something, we miss it more than ever. wait to get there. It may take some time to And, we learn a powerful lesson in not taking recover, but with your help, our parks will it for granted. -
Self-Driving Car Autonomous System Overview
Self-Driving Car Autonomous System Overview - Industrial Electronics Engineering - Bachelors’ Thesis - Author: Daniel Casado Herráez Thesis Director: Javier Díaz Dorronsoro, PhD Thesis Supervisor: Andoni Medina, MSc San Sebastián - Donostia, June 2020 Self-Driving Car Autonomous System Overview Daniel Casado Herráez "When something is important enough, you do it even if the odds are not in your favor." - Elon Musk - 2 Self-Driving Car Autonomous System Overview Daniel Casado Herráez To my Grandfather, Family, Friends & to my supervisor Javier Díaz 3 Self-Driving Car Autonomous System Overview Daniel Casado Herráez 1. Contents 1.1. Index 1. Contents ..................................................................................................................................................... 4 1.1. Index.................................................................................................................................................. 4 1.2. Figures ............................................................................................................................................... 6 1.1. Tables ................................................................................................................................................ 7 1.2. Algorithms ........................................................................................................................................ 7 2. Abstract ..................................................................................................................................................... -
Automated Driving Activities in the U.S
AUTOMATED DRIVING ACTIVITIES IN THE U.S. A PARTIAL REPORT JANE LAPPIN CHAIR, TRB STANDING COMMITTEE ON VEHICLE HIGHWAY AUTOMATION APRIL 19, 2021 EUCAD- VIRTUALLY BRUSSELS WHAT NATIONAL POLICIES AND ACTIONS CAN ACCELERATE DEVELOPMENT AND DEPLOYMENT? • Structural safety standards for new vehicle designs • Data exchange standards • Safe driving integration, by ODD, vehicle size/type • Public acceptance • Built infrastructure • ReMote operations • • Machine-readable signage Consistent national regulations • Procedural safety • Digital short-range communications • Platooning • Road operations • Planning • Ethics • Sensors/enabling technologies • Liability • Equity • Internal and external vehicle communications • Investment in Innovation* • Accessibility • Multi-sector Pilots • Personal security • Public deMonstrations • Cybersecurity • Test beds INDICATORS OF HEALTHY INNOVATION: AS OF FEBRUARY 25, 2021, CA DMV HAS ISSUED AUTONOMOUS VEHICLE TESTING PERMITS (WITH A DRIVER) TO THE FOLLOWING 56 ENTITIES: • AIMOTIVE INC • RENOVO.AUTO • Qcraft.ai • • • AMBARELLA CORPORATION RIDECELL INC • LEONIS TECHNOLOGIES QUALCOMM TECHNOLOGIES, • INC • APEX.AI SUBARU • LYFT, INC • TELENAV, INC. • APPLE INC • BOX BOT INC • MANDO AMERICA CORP • • TESLA • ARGO AI, LLC CONTINENTAL • MERC BENZ • • TOYOTA RESEARCH INSTITUTE • ATLAS ROBOTICS, INC CRUISE LLC • NIO USA INC. • • UATC, LLC (UBER) • AURORA INNOVATION CYNGN INC • NISSAN • DEEPROUTE.AI • UDACITY • AUTOX TECHNOLOGIES INC • NURO, INC • • Udelv, Inc • BAIDU USA LLC DELPHI • NVIDIA CORPORATION • • VALEO NORTH AMERICA, -
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. -
Provisional Injunctive Relief Under the UTSA and the DTSA in Federal Court New Product Cases
Science and Technology Law Review Volume 23 Number 2 Article 3 2020 Provisional Injunctive Relief Under the UTSA and the DTSA in Federal Court New Product Cases Richard F. Dole, Jr. Univerisity of Houston Law Center, [email protected] Follow this and additional works at: https://scholar.smu.edu/scitech Part of the Computer Law Commons, Intellectual Property Law Commons, Internet Law Commons, and the Science and Technology Law Commons Recommended Citation Richard F Dole,, Provisional Injunctive Relief Under the UTSA and the DTSA in Federal Court New Product Cases, 23 SMU SCI. & TECH. L. REV. 127 (2020) https://scholar.smu.edu/scitech/vol23/iss2/3 This Article is brought to you for free and open access by the Law Journals at SMU Scholar. It has been accepted for inclusion in Science and Technology Law Review by an authorized administrator of SMU Scholar. For more information, please visit http://digitalrepository.smu.edu. Provisional Injunctive Relief Under the UTSA and the DTSA in Federal Court New Product Cases Richard F. Dole, Jr.* TABLE OF CONTENTS I. INTRODUCTION ......................................... 128 II. FEDERAL RULE OF CIVIL PROCEDURE 65 ............ 131 A. Procedural Requirements .............................. 131 B. Discretionary Requirements ............................ 133 III. THE WAYMO CASE ...................................... 136 A. Background ........................................... 136 B. Lessons from the Waymo Case ......................... 141 1. The Importance of the Unchallenged Evidence that Levandowski had Downloaded Without Authorization Over 14,000 Files of Waymo’s Driverless Vehicle Research.......................................... 141 2. Judge Alsup’s Refusal to Draw Negative Inferences from Levandowski’s Claim Over 400 Times of the Fifth Amendment Privilege Against Self- Incrimination ..................................... 141 3. The Adequacy of Waymo’s Remedy at Law ....... -
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. -
2021 Tech M&A Outlook: Internet of Things
2021 Tech M&A Outlook: Internet of Things Analysts - Christian Renaud, Rich Karpinski, Katy Ring, Brian O’Rourke, Johan Vermij, Mark Fontecchio, Jonathan Stern Publication date: Thursday, February 18 2021 Introduction Semiconductor activity contributed to a strong year for IoT dealmaking in 2020, followed by a flurry of consolidation in the healthcare, transportation, manufacturing and wireless sectors. According to 451 Research's M&A KnowledgeBase, the total value of IoT acquisitions rose to nearly $69bn from $8bn in 2019. Transaction volume was down slightly to 125 prints from the 2019 record of 139 purchases. Even backing out the $33.5bn NVIDIA-Arm pairing, total deal value was over four times the prior year. M&A activity was concentrated in a small handful of verticals as businesses sought to digitize. Spurred by a global health crisis, healthcare technology-related transactions led in volume with 24 acquisitions totaling over $19bn, or 20% of all deals in the year. There was continued enthusiasm for the transportation sector, with 13 transactions in both commercial and consumer transportation totaling over $5.8bn, including four rather large LiDAR special-purpose acquisition company (SPAC) deals. This transportation number does not include the acquisition in December of Uber's Advanced Technology Group by Aurora Innovation for a reported $4bn and is also not reflected in the $66bn in total IoT transactions. Healthcare and transportation were followed by manufacturing and industrial (13 prints, $5bn) and wireless-related firms (sensors and infrastructure), with 13 deals totaling $41m. This export was generated by user [email protected] at account S&P Global on 6/24/2021 from IP address 168.149.160.75. -
Program Analysis Based Approaches to Ensure Security and Safety of Emerging Software Platforms
Program Analysis Based Approaches to Ensure Security and Safety of Emerging Software Platforms by Yunhan Jia A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Computer Science and Engineering) in The University of Michigan 2018 Doctoral Committee: Professor Z. Morley Mao, Chair Professor Atul Prakash Assistant Professor Zhiyun Qian, University of California Riverside Assistant Professor Florian Schaub Yunhan Jia [email protected] ORCID iD: 0000-0003-2809-5534 c Yunhan Jia 2018 All Rights Reserved To my parents, my grandparents and Xiyu ii ACKNOWLEDGEMENTS Five years have passed since I moved into the Northwood cabin in Ann Arbor to chase my dream of obtaining a Ph.D. degree. Now, looking back from the end of this road, there are so many people I would like to thank, who are an indispensable part of this wonderful journey full of passion, love, learning, and growth. Foremost, I would like to gratefully thank my advisor, Professor Zhuoqing Morley Mao for believing and investing in me. Her constant support was a definite factor in bringing this dissertation to its completion. Whenever I got lost or stucked in my research, she would always keep a clear big picture of things in mind and point me to the right direction. With her guidance and support over these years, I have grown from a rookie to a researcher that can independently conduct research. Besides my advisor, I would like to thank my thesis committee, Professor Atul Prakash, Professor Zhiyun Qian, and Professor Florian Schaub for their insightful suggestions, com- ments, and support. -
Autonomous Vehicles Landscape Jan2020
Created By: The Autonomous Vehicles landscape Designed by: Powered By: Marc Amblard Last Update January 2020 Orsay Consulting AV Applications Analytics AV Fleet Goods Delivery (13) Shuttle & Robo-Taxis (21) Driving Aid & Monitoring (18) Occupant understanding (15) Management (8) Designated Gatik 2getthere Aurrigo Auro Robotics AEV Robotics AutoX BARO e.GO Moove EasyMile Braiq Cambridge Carvi GreenRoad i4drive IntelliVision KeepTruckin Aectiva eyeSight Fotonation Genesis Bestmile Fleetonomy Boxbot Dispatch Einride Kiwi Campus VEHICLES EdgeTensor Eyeris Driver Mobile Telematics Technologies Lab LM Industries Lohr May Mobility Navya NEXT Future Optimus Ride Open Motors Ottopia Phantom Auto RideOS Marble Nuro RoboCV Robby Robomart ISFM LightMetrics Nauto NetraDyne Roadsense Safe Drive Seegrid Smartdrive Guardian Optical Innov Plus Jungo Life Detection Pertech Phasya Technology Transportation Technology Systems System Technologies Connectivity Technologies Solutions Ride Cell Vulog Starship TeleRetail Udelv Softcar Waymo Zoox Ziiko Coast Autonomous Voyomotive Zendrive DriveTrust Samsara Seeing Machine Smart Eye Vayyar Wrnch Technologies Robotics AV Software Stack Automotive Stack (70) Localization & Mapping (37) Simulation and Validation (35) Dvpt tools (20) AImotive Algolux Aptiv Argo AI Ascent Apex.AI Aurora Autonomous AutoX Deeproute AI Autonomous Applanix Artisense Accerion atlatec Carmera Civil Maps Combain Ception Almotive ANSYS Applied AV Simulation Alpha Drive Algolux Autonomou Apex.AI Robotics Innovation Fusion Intelligent Driving -
Aptiv Application to Test Automated Driving Systems (ADS)
Charles D. Baker. Governor Karyn E Polito. lJeutenant Governor massDOT Stephanie Pollack. MassDOT Secretary & CEO Massachusetts Department of Transportation Application to Test Automated Driving Systems on Public Ways in Massachusetts CONTACT INFORMA T/ON: Name of Organization: Aptiv Services US LLC and its affiliate nuTonomy, Inc. Primary Contact Person: Abe Ghabra Title: Managing Director, Las Vegas Technical Center Street Address of Company's Headquarters Office: 100 Northern Ave. Suite 200. City, Town of Headquarters Office: Boston State: MA Zip Code: 02210 Country: USA Website: https:ll www.aptlv.com/autonomous-mobllfty CERT/FICA TION: The Applicant certifies that all information contained within this application is true, accurate and complete to the best ofIts knowledge. /i~L /t:h-- Abe Ghabra 01 January 2020 Srgnature ofApplicant's Representative Printed Name Date of Signing Managing Director, Las Vegas Technical Center Position and Title Ten Park Plaza, Suite 4160, Boston, MA 0211 6 Tel. 857-368-4636, TTY: 857-368-0655 www.rnass.gov/massdot Application to Test Automated Driving Systems on Public Ways in Massachusetts Detailed Information Detail # 1: Experience with Automated Driving Systems (ADS) Detail # 2: Operational Design Domain Detail # 3: Summary of Training and Operations Protocol Detail # 4: First Responders Interaction Plan Detail # 5: Applicant’s Voluntary Safety Self-Assessment Detail # 6: Motor Vehicles in Testing Program Detail # 7: Drivers in Testing Program Detail # 8: Insurance Requirements Detail # 9: Additional Questions Note: Applicants should not disclose any confidential information or other material considered to be trade secrets, as the applications are considered to be public records. The Massachusetts Public Records Law applies to records created by or in the custody of a state or local agency, board or other government entity. -
Cybersecurity for Connected Cars Exploring Risks in 5G, Cloud, and Other Connected Technologies
Cybersecurity for Connected Cars Exploring Risks in 5G, Cloud, and Other Connected Technologies Numaan Huq, Craig Gibson, Vladimir Kropotov, Rainer Vosseler TREND MICRO LEGAL DISCLAIMER The information provided herein is for general information Contents and educational purposes only. It is not intended and should not be construed to constitute legal advice. The information contained herein may not be applicable to all situations and may not reflect the most current situation. 4 Nothing contained herein should be relied on or acted upon without the benefit of legal advice based on the particular facts and circumstances presented and nothing The Concept of Connected Cars herein should be construed otherwise. Trend Micro reserves the right to modify the contents of this document at any time without prior notice. 7 Translations of any material into other languages are intended solely as a convenience. Translation accuracy is not guaranteed nor implied. If any questions arise Research on Remote Vehicle related to the accuracy of a translation, please refer to Attacks the original language official version of the document. Any discrepancies or differences created in the translation are not binding and have no legal effect for compliance or enforcement purposes. 13 Although Trend Micro uses reasonable efforts to include Cybersecurity Risks of Connected accurate and up-to-date information herein, Trend Micro makes no warranties or representations of any kind as Cars to its accuracy, currency, or completeness. You agree that access to and use of and reliance on this document and the content thereof is at your own risk. Trend Micro disclaims all warranties of any kind, express or implied.