DRIVE PILOT: an Automated Driving System for the Highway Introducing DRIVE PILOT: an Automated Driving System for the Highway Table of Contents
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Lives Saved Calculations for Seat Belts and Frontal Air Bags This Publication Is Distributed by the U.S
DOT HS 811 206 December 2009 Lives Saved Calculations for Seat Belts and Frontal Air Bags This publication is distributed by the U.S. Department of Transportation, National Highway Traffic Safety Administration, in the interest of information exchange. The opinions, findings and conclusions expressed in this publication are those of the author(s) and not necessarily those of the Department of Transportation or the National Highway Traffic Safety Administration. The United States Government assumes no liability for its content or use thereof. If trade or manufacturers’ names or products are mentioned, it is because they are considered essential to the object of the publication and should not be construed as an endorsement. The United States Government does not endorse products or manufacturers. Technical Report Documentation Page 1. Report No. 2. Government Accession No. 3. Recipient's Catalog No. DOT HS 811 206 4. Title and Subtitle 5. Report Date Lives Saved Calculations for Seat Belts and Frontal Air Bags December 2009 6. Performing Organization Code NVS-421 7. Author(s) 8. Performing Organization Report No. Glassbrenner, Donna, Ph.D., and Starnes, Marc 9. Performing Organization Name and Address 10. Work Unit No. (TRAIS) Mathematical Analysis Division, National Center for Statistics and Analysis National Highway Traffic Safety Administration 11. Contract or Grant No. NVS-421, 1200 New Jersey Avenue SE. Washington, DC 20590 12. Sponsoring Agency Name and Address 13. Type of Report and Period Covered Mathematical Analysis Division, National Center for Statistics and Analysis NHTSA Technical Report National Highway Traffic Safety Administration NVS-421, 1200 New Jersey Avenue SE. 14. -
SAE International® PROGRESS in TECHNOLOGY SERIES Downloaded from SAE International by Eric Anderson, Thursday, September 10, 2015
Downloaded from SAE International by Eric Anderson, Thursday, September 10, 2015 Connectivity and the Mobility Industry Edited by Dr. Andrew Brown, Jr. SAE International® PROGRESS IN TECHNOLOGY SERIES Downloaded from SAE International by Eric Anderson, Thursday, September 10, 2015 Connectivity and the Mobility Industry Downloaded from SAE International by Eric Anderson, Thursday, September 10, 2015 Other SAE books of interest: Green Technologies and the Mobility Industry By Dr. Andrew Brown, Jr. (Product Code: PT-146) Active Safety and the Mobility Industry By Dr. Andrew Brown, Jr. (Product Code: PT-147) Automotive 2030 – North America By Bruce Morey (Product Code: T-127) Multiplexed Networks for Embedded Systems By Dominique Paret (Product Code: R-385) For more information or to order a book, contact SAE International at 400 Commonwealth Drive, Warrendale, PA 15096-0001, USA phone 877-606-7323 (U.S. and Canada) or 724-776-4970 (outside U.S. and Canada); fax 724-776-0790; e-mail [email protected]; website http://store.sae.org. Downloaded from SAE International by Eric Anderson, Thursday, September 10, 2015 Connectivity and the Mobility Industry By Dr. Andrew Brown, Jr. Warrendale, Pennsylvania, USA Copyright © 2011 SAE International. eISBN: 978-0-7680-7461-1 Downloaded from SAE International by Eric Anderson, Thursday, September 10, 2015 400 Commonwealth Drive Warrendale, PA 15096-0001 USA E-mail: [email protected] Phone: 877-606-7323 (inside USA and Canada) 724-776-4970 (outside USA) Fax: 724-776-0790 Copyright © 2011 SAE International. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, distributed, or transmitted, in any form or by any means without the prior written permission of SAE. -
Global Autonomous Driving Market Outlook, 2018
Global Autonomous Driving Market Outlook, 2018 The Global Autonomous Driving Market is Expected Grow up to $173.15 B by 2030, with Shared Mobility Services Contributing to 65.31% Global Automotive & Transportation Research Team at Frost & Sullivan K24A-18 March 2018 Contents Section Slide Number Executive Summary 7 2017 Key Highlights 8 Leading Players in terms of AD Patents Filed in 2017 10 Sensors Currently Used Across Applications 11 Next Generations of Sensor Fusion 12 Future Approach in Hardware and Software toward L5 Automation 13 Level 3 Automated Vehicles—What could be new? 14 2018 Top 5 Predictions 15 Research Scope and Segmentation 16 Research Scope 17 Vehicle Segmentation 18 Market Definition—Rise of Automation 19 Key Questions this Study will Answer 20 Impact of Autonomous Vehicles Driving Development of Vital Facets in 21 Business and Technology K24A-18 2 Contents (continued) Section Slide Number Transformational Impact of Automation on the Industry 22 Impact on the Development of Next-Generation Depth Sensing 23 Impact on Ownership and User-ship Structures 24 Impact of Autonomous Driving on Future Vehicle Design 25 Impact of Investments on Technology Development 26 Major Market and Technology Trends in Automated Driving—2018 27 Top Trends Driving the Autonomous Driving Market—2018 28 Market Trends 29 1. Autonomous Shared Mobility Solutions 30 Case Study—Waymo 31 2. Collective Intelligence for Fleet Management 32 Case Study—BestMile 33 3. Cyber Security of Autonomous Cars 34 Case Study—Karamba Security 35 K24A-18 3 Contents (continued) Section Slide Number Technology Trends 36 1. Convergence of Artificial Intelligence and Automated Driving 37 Case Study—Mobileye 38 2. -
Towards a Viable Autonomous Driving Research Platform
Towards a Viable Autonomous Driving Research Platform Junqing Wei, Jarrod M. Snider, Junsung Kim, John M. Dolan, Raj Rajkumar and Bakhtiar Litkouhi Abstract— We present an autonomous driving research vehi- cle with minimal appearance modifications that is capable of a wide range of autonomous and intelligent behaviors, including smooth and comfortable trajectory generation and following; lane keeping and lane changing; intersection handling with or without V2I and V2V; and pedestrian, bicyclist, and workzone detection. Safety and reliability features include a fault-tolerant computing system; smooth and intuitive autonomous-manual switching; and the ability to fully disengage and power down the drive-by-wire and computing system upon E-stop. The vehicle has been tested extensively on both a closed test field and public roads. I. INTRODUCTION Fig. 1: The CMU autonomous vehicle research platform in Imagining autonomous passenger cars in mass production road test has been difficult for many years. Reliability, safety, cost, appearance and social acceptance are only a few of the legitimate concerns. Advances in state-of-the-art software with simple driving scenarios, including distance keeping, and sensing have afforded great improvements in reliability lane changing and intersection handling [14], [6], [3], [12]. and safe operation of autonomous vehicles in real-world The NAVLAB project at Carnegie Mellon University conditions. As autonomous driving technologies make the (CMU) has built a series of experimental platforms since transition from laboratories to the real world, so must the the 1990s which are able to run autonomously on freeways vehicle platforms used to test and develop them. The next [13], but they can only drive within a single lane. -
Technologies for the Prevention of Run Off Road and Low Overlap Head-On Collisions
TECHNOLOGIES FOR THE PREVENTION OF RUN OFF ROAD AND LOW OVERLAP HEAD-ON COLLISIONS Colin, Grover Matthew, Avery Thatcham Research UK Iain, Knight Apollo Vehicle Safety Limited UK Paper Number 15-0351 INTRODUCTION A substantial number of serious collisions occur when a vehicle: • Runs off the edge of the road way and collides with roadside furniture such as trees; and • Crosses the centre line of the road and collides head-on with an oncoming vehicle. A proportion of these are very likely to be caused by some form of inattention and/or distraction and several new technologies have been introduced into the market with the intention of preventing these crashes. Actions to promote the fitment of “lateral assist” systems are included within the Euro NCAP programme (Euro NCAP, 2014): • Lane Keep Assist Test and Assesment Procedure for the 2016 rating scheme • Advanced Lateral Support System Test and Assessment Procedure for 2018 rating scheme. The aim of this research was to: • Analyse the frequency and severity of relevant collisions in order to understand the potential impact of lateral control technologies • Characterise crashes to inform the development of performance criteria that will be relevant to the real world • Undertake initial research to explore the capability of different technologies • Investigate the potential of candidate test procedures that could form part of future assessments. LATERAL ASSIST TECHNOLOGIES A wide range of lateral assist technologies have been developed and put into production since the beginning of the 21st century. These include blind spot monitoring systems but these have not been considered in-depth in this paper because they are intended to be of benefit in crashes that occur during deliberate lane changes rather than crashes that occur because of unintended departure from the lane or road. -
Holistic Approach for Vehicle Safety at Mercedes-Benz
Alternating between white and black slide layouts via menu bar: Reset the slide back to its Change the slide layout via menu bar: Holistic Approach for Vehicle Safety at Mercedes-Benz Per Lewerenz, Mercedes Benz AG, RD/KSF, VET 2019 Agenda 1. History of Vehicle Safety 2. The Integral Safety Strategy History of Road Accidents Vehicle Safety| Per Lewerenz | Nov 2019 3 Safety Aspects of the Benz Patent Motor Car from 1886 • Comfortable and safe • Easier and safer to operate compared to horse buggies Vehicle Safety| Per Lewerenz | Nov 2019 4 Mercedes-Benz – The Cradle of Vehicle Safety More than 75 Years of Experience in Passenger-Car Safety Development 1939 The „Father of Passive Safety“, Béla Barényi, was employed by Daimler-Benz. 1959 Crumple Zone, Rigid Passenger Cell and Interior Paddings were implemented in series production for the first time. Vehicle Safety| Per Lewerenz | Nov 2019 5 Mercedes-Benz – The Cradle of Vehicle Safety .1959 Crumple Zone . 1978 ABS .1980 Airbag, Belt Tensioner .1989 Automatic Rollover Bar .1995 ESP®, Sidebag .1996 Brake Assist .1997 Sandwich Concept .1998 Windowbag, Adaptive Front Airbag .2002 PRE-SAFE® .2003 Active Light Function .2005 Adaptive Brake Lights, Brake Assist PLUS, NECK-PRO Head Restraint .2006 PRE-SAFE ® Brake, Intelligent Light System .2007 Blind Spot Assist .2008 Reversible Active Bonnet .2009 Attention Assist, Self-Adaptive Belt Force Limiter .2013 PRE-SAFE® Impulse, Beltbag, Active Buckle Lifter .2016 PRE-SAFE® Sound, PRE-SAFE® Impulse Side Vehicle Safety| Per Lewerenz | Nov 2019 6 International -
The Future of Automated Vehicles and Assert That a Certain Kind of Vehicle Is Likely to Succeed, E.G
The Future of vehicles Automated Vehicles Scenarios for automated vehicles and the consequences for mobility, safety and the environment Bachelor thesis Anne van der Veen - S2322668 - University of Groningen - 2015 Abstract In the last decade, automation has entered the realm of vehicles. The automated vehicles that are being developed will have a large impact on the transportation network, which in turn impacts mobility. To prepare for what’s to come it is vital to get an understanding of what the future might look like. Because the technology is still in an early stage, it can develop in numerous wildly different directions. This research assesses these different directions by looking at what kind of automated vehicles are likely to occur. These vehicle types are defined using two key factors: the level of automation (full / limited automation) and the kind of mobility the vehicle provides (personal / on-demand / centralized). It does not look at the status quo but only at the future, which is why non-automated vehicles are not within the scope of this research. This results in six categories of automated vehicles. The impact of each automated vehicle on the transportation network and on mobility is assessed using scenarios and the assumption that that vehicle type becomes dominant. Using multiple expert interviews, these scenarios are explored. The result is that the impact of automated vehicles is very dependent on the kind of vehicle, that the impacts are complex and rather difficult to predict and that efficiency and that safety are greatly impacted because of these technological advancements. University of Groningen - Thesis A. -
A Study on Tesla Autopilot
INTERNATIONAL JOURNAL OF SCIENTIFIC PROGRESS AND RESEARCH (IJSPR) ISSN: 2349-4689 Issue 171, Volume 71, Number 01, May 2020 A Study on Tesla Autopilot K. Nived Maanyu1, D Goutham Raj2, R Vamsi Krishna3, Dr. Shruthi Bhargava Choubey4 Dept. of ECE, Sreenidhi Institute of Science And Technology, Hyderabad, India Abstract— Tesla Autopilot may well be a refined driver- Enhanced Autopilot has the following partial self- assistance system feature offered by Tesla that has lane driving abilities: automatically change lanes without centering, adaptative controller, self-parking, the power to requiring driver input, the transition from one freeway to mechanically modification lanes, and jointly the flexibleness to another, exit the freeway when your destination is near and summon the automobile to and from a garage or parking spot. more.[21] As an upgrade to the base Autopilot's capabilities, the company's stated intent is to offer full self-driving (FSD) at a Autopilot for HW2 cars came in February 2017. It future time, acknowledging that legal, regulatory, and technical enclosed an adaptative controller, autosteer on divided [1] hurdles must be overcome to achieve this goal. highways, autosteer on 'local roads’ up to a speed of 35 I. INTRODUCTION mph or a specified number of mph over the local speed limit to a maximum of 45 mph.[22] Firmware version 8.1 Autopilot was 1st offered on Oct nine, 2014, for Tesla for HW2 arrived in June 2017 adding a new driving-assist Model S, followed by the Model X upon its release.[3] algorithm, full-speed braking and handling parallel and Autopilot was included within a "Tech Package" option. -
2021 Sequoia-SR5 Sequoia-SR5 4WD 5.7L V8 6-Speed Automatic
Toyota of Gladstone 19375 SE McLoughlin Blvd. Gladstone OR 97027 503-722-4800 2021 Sequoia-SR5 Sequoia-SR5 4WD 5.7L V8 6-Speed Automatic Model: 7919E VIN: 5TDAY5B13MS186054 Stock: T13995 Engine: 5.7L-V8 Engine Transmission: 6-Speed-Automatic Transmission EXTERIOR INTERIOR Celestial-Silver Metallic Graphite-Leather FUEL ECONOMY PRICE Vehicle Base Model $53,625.00 Total Installed Packages & Accessories $4,698.00 MPG 13MPG 17MPG Delivery Processing and Handling $1,365.00 14 COMBINED CITY HIGHWAY Total MSRP* $59,688.00 INSTALLED PACKAGES & ACCESSORIES 50-State Emissions $0.00 Premium-Package $4,325.00 Premium-Package: includes 8-passenger leather-trimmed seats; heated 10-way power-adjustable driver's seat and 6- way power-adjustable front passenger seat; power reclining and fold-fat third-row seating; Premium Audio with Dynamic Navigation with up to 3-year trial, dynamic auto-dimming rearview mirror with compass and HomeLink® universal transceiver. All-Weather-Floor Liners/ All-Weather Cargo Mat / Door Sill Protector $373.00 All-Weather-Liners, All-Weather Cargo Mat & Door Sill protectors. PREFERRED-OWNER'S PORTFOLIO $0.00 Total Optional Equipment $4,698.00 Vehicle Base Model $53,625.00 Delivery Processing and Handling $1,365.00 FEATURES Mechanical & Performance Engine:-5.7-Liter i-FORCE V8 DOHC 32-Valve with Dual Emission-rating: California Air Resources Board (CARB) Emission Independent Variable Valve Timing with intelligence (VVT-i); 381 Standard: Low Emission Vehicle (LEV) III, Ultra Low Emission hp @ 5600 rpm; 401 lb.-ft. @ 3600 rpm -
Testimony of Daniel Hinkle for the American Association for Justice
Testimony of Daniel Hinkle for the American Association for Justice Autonomous Vehicles: Promises and Challenges of Evolving Automotive Technologies February 11, 2020 House Energy and Commerce Committee Good afternoon Chairwoman Schakowsky, Ranking Member McMorris, and members of the Committee. My name is Daniel Hinkle, and I am the Senior State Affairs Counsel for the American Association for Justice (“AAJ”). Thank you for the invitation to testify about automated driving. AAJ, the world’s largest trial bar with members in the U.S., Canada, and abroad, was established to safeguard victims’ and survivors’ rights, strengthen the civil justice system, promote injury prevention, and foster public safety. And as representatives for those injured, and those who may be injured by automated driving now and in the future, we are honored by the opportunity to work with this committee as it develops legislation that will protect and empower the public while promoting the safe deployment of this emerging technology. In my current capacity as AAJ’s Senior State Affairs Counsel, I have had the privilege of working on automated driving legislation at the state and federal levels over the last five years. I was an observer on the Uniform Law Commission’s Uniform Automated Operations of Vehicles drafting committee. I have given dozens of presentations across the country and collaborated with countless experts in a quest to better understand the technology behind this emerging phenomenon. AAJ believes that in order to best protect the public while fostering safety as well as innovation, any federal legislation designed to regulate automated vehicles must preserve: the traditional role of the states in ensuring safety on the roads, access to the courts under state laws for injured persons and damaged property, and the ability to access relevant information necessary to pursue such claims. -
RESULTS RESULTS RESULTS DISCUSSION Human Factors of Advanced Driver Assistance Systems DEMOGRAPHICS Contact Information
Contact Information Know It By Name: Human Factors of ADAS Design Kelly Funkhouser University of Utah Graduate Student Kelly Funkhouser, Elise Tanner, & Frank Drews [email protected] https://www.linkedin.com/in/kelly-funkhouser/ Human Factors of Advanced Driver RESULTS RESULTS RESULTS DISCUSSION Assistance Systems Terminology in Current Consumer Vehicles Participants ranked their trust in each of Terminology Terms non-owners chose to describe features the SAE Levels of Automation Terminology Scale -5 (Do Not Trust) to +5 (Completely Trust) ADAS Features Human Factors Principles for ADAS Design: Misinterpretation resulting from ambiguous terminology remains a Findings There were no significant differences between pressing concern in the design of novel technology. The National Active Active Active Reactive Warning Warning Levels 0-4 ● Use driver chosen terminology Reactive Function ● Use descriptive terminology Highway Traffic Safety Administration (NHTSA) suggests Function Function Function Function Alert Alert There was a significant difference between Levels 4 and 5 ● Do not use words that have prior connotations or meanings manufacturers of highly automated vehicles follow Human Factors Both continuously and Systems-Engineering principles during the design and validation keeps centered t(35) = 3.01, p < 0.01 ● Use standardized/consistent/common terminology Continuously Nudges back into lane when Gives signal when car is Gives signal when Moves the car back into processes to reduce known safety risks. As novel automation between lane lines Adjusts speed/distance keeps centered your car is crossing over crossing over lane another car is lane if another car is and adjusts from car in front Recommended Terminology: technologies emerge in the automobile industry, new system designs between lane lines lane marker marker occupying blind spot occupying blind spot Participants rated their trust in societal speed/distance and terminology are introduced. -
A Behavioural Lens on Transportation Systems: the Psychology of Commuter Behaviour and Transportation Choices
A Behavioural Lens on Transportation Systems: The Psychology of Commuter Behaviour and Transportation Choices Kim Ly, Saurabh Sati, and Erica Singer, and Dilip Soman Research Paper originally prepared for the Regional Municipality of York Region 22 March 2017 Research Report Series Behavioural Economics in Action, Rotman School of Management University of Toronto 2 Correspondence and Acknowledgements For questions and enquiries, please contact: Professors Dilip Soman or Nina Mažar Rotman School of Management University of Toronto 105 St. George Street Toronto, ON M5S 3E6 Email: [email protected] or [email protected] Phone Number: (416) 946-0195 We thank the Regional Municipality of York Region for support, Philip Afèche, Eric Miller, Birsen Donmez, Tim Chen, and Liz Kang for insights, comments, and discussions. All errors are our own. 3 Table of Contents Executive Summary ...................................................................................................... 6 1. Introduction ............................................................................................................. 7 2. The Impact of Path Characteristics on Travel Choices ....................................... 9 2.1 Hassle factors – Mental effort and Commuter Orientation ................................... 11 2.2 Perceived Progress towards a Destination ............................................................... 14 2.3 Physical Environment Surrounding the Travel path and The Effect on The Commuter ...............................................................................................................................