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The Effects of Small Seat Swiveling Angles on Occupant Responses during a Frontal Impact

LAB PSA RENAULT-Xavier Trosseille, Philippe Petit
Univ. Lyon 1, Univ. Eiffel, IFSTTAR , LBMC-Cyrille Grébonval, Xuguang Wang, Philippe Beillas
  • Technical Paper
  • 2020-01-0571
To be published on 2020-04-14 by SAE International in United States
In highly automated vehicles (HAVs), new seat configurations may be desirable to allow occupants to perform new activities. One of the current HAV concepts is the swiveled seat layout, which might facilitate communication between occupants. The main objective of this study was to investigate the effects of seat swiveling angles on occupant kinematics and injury risk predicted by a Human Body Model (HBM) during a frontal impact. A detailed 50th percentile male HBM (GHBMC M50-O) was subjected to two frontal crash pulses in a sled setup. The model was positioned on a semi-rigid seat and restrained using a pre-inflated airbag and a three-point seatbelt. Simulations included four seat swiveling angles (0, -10, -20, and -30 degrees), three occupant positions (Sedan driver, large VAN driver or Laptop user), two airbag initial locations (nominal or matching the head Y location), and the inclusion of lateral supports on the seat pan. The effects of the seat swiveling angle were similar for all occupant positions. With the airbag in the nominal location, higher seat swiveling angles led to a…
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Vehicle Trajectory Prediction Based on Motion Model and Maneuver Model Fusion with Interactive Multiple Models

Tongji University-Wei Xiao, Lijun Zhang, Dejian Meng
  • Technical Paper
  • 2020-01-0112
To be published on 2020-04-14 by SAE International in United States
Safety is the cornerstone for Advanced Driver Assistance Systems (ADAS) and Autonomous Driving Systems (ADS). To assess the safety of a traffic situation, it is essential to predict motion states of traffic participants in the future with mathematic models. Accurate vehicle trajectory prediction is an important prerequisite for reasonable traffic situation risk assessment and appropriate decision making. Vehicle trajectory prediction methods can be generally divided into motion model based methods and maneuver model based methods. Vehicle trajectory prediction based on motion models can be accurate and reliable only in the short term. While vehicle trajectory prediction based on maneuver models present more satisfactory performance in the long term, these maneuver models rely on machine learning methods. Abundant data should be collected to train the maneuver recognition model, which increases complexity and lowers real-time performance. In this paper, a vehicle trajectory prediction method based on motion model and maneuver model fusion with Interactive Multiple Model (IMM) is proposed. Firstly, Constant Turn Rate and Acceleration (CTRA) motion model and Unscented Kalman Filter (UKF) are used to predict…
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Next-gen Sensors Advancing Commercial-Vehicle ADAS, Autonomy

Autonomous Vehicle Engineering: January 2020

Ryan Gehm
  • Magazine Article
  • 20AVEP01_10
Published 2020-01-01 by SAE International in United States

ZF's director of ADAS & Autonomy says the supplier will be very well positioned in 2020 for the SAE Level 2 market, which he views as “a real sweet spot” for commercial vehicles.

Together with its many partners, ZF supplies camera and radar technology and advanced components for both the passenger car and truck markets, the latter being especially suited for the move to more complex driver-assistance systems, according to Dan Williams, director of ADAS & Autonomy. “The business case in commercial vehicle for reduction in driver hours of service, fuel cost reduction and safety have strong economic incentives to adopt ADAS/automated driving technology,” he said. “Additionally, the regulations placed on the industry will require our customers to utilize certain solutions.”

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Identifying Automated Driving Systems-Dedicated Vehicles (ADS-DVs) Passenger Issues for Persons with Disabilities

On-Road Automated Driving (ORAD) committee
  • Ground Vehicle Standard
  • J3171_201911
  • Current
Published 2019-11-19 by SAE International in United States
It is expected that Level 4 and 5 automated driving systems-dedicated vehicles (ADS-DVs) will eventually enable persons to travel at will who are otherwise unable to obtain a driver's license for a conventional vehicle, namely, persons with certain visual, cognitive, and/or physical impairments. This information report focuses on these disabilities, but also provides guidance for those with other disabilities. This report is limited to fleet operated on-demand shared mobility scenarios, as this is widely considered to be the first way people will be able to interact with ADS-DVs. To be more specific, this report does not address fixed route transit services or private vehicle ownership. Similarly, this report is focused on road-worthy vehicles; not scooters, golf carts, etc. Lastly, this report does not address the design of chair lifts, ramps, or securements for persons who use wheeled mobility devices (WHMD) (e.g., wheelchair, electric cart, etc.), as these matters are addressed by other committees within SAE International.
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Overview of Highly Automated Vehicles

  • Professional Development
  • C1933
Published 2019-11-08

Automated vehicles continue to be the hot topic in automotive development. A wide variety of autonomous functions are under development and will be implemented within the next 3 to 7 years. All the OEM's and Tier I suppliers continue to struggle with establishing labs, staff and development efforts in this area. This course is designed to familiarize participants with the rapidly developing field of highly automated vehicles. You will learn how the HAV perceives the world, makes decisions, and controls the vehicle.

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The Navigator

Autonomous Vehicle Engineering: December 2019

Sam Abuelsamid
  • Magazine Article
  • 19AVEP11_02
Published 2019-11-01 by SAE International in United States

Science-fiction author Arthur C. Clarke once wrote, “Any sufficiently advanced technology is indistinguishable from magic.” When I was learning to drive, like many teens, I struggled with some of the more mundane tasks such as parallel parking. In recent years though, technological advances have made even that seem magical at times.

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Familiarity Breeds Respect

Autonomous Vehicle Engineering: December 2019

Bill Visnic
  • Magazine Article
  • 19AVEP11_08
Published 2019-11-01 by SAE International in United States

SAE surveyed participants in its recently concluded AV ride-along program. Their responses reinforce positive perceptions about the automated-driving experience.

If there's one takeaway from SAE International's groundbreaking Demo Days program that took place in various U.S. cities over 18 months, it's that everyday people who've had the opportunity to ride in an automated vehicle (AV) on real roads are the antithesis of Chaucer's familiar phrase, “Familiarity breeds contempt.”

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Dial ‘M’ for Mobility: When Your Phone Becomes the Steering Wheel

Autonomous Vehicle Engineering: December 2019

Jennifer Dukarski
  • Magazine Article
  • 19AVEP11_10
Published 2019-11-01 by SAE International in United States

Tesla's controversial new Smart Summon feature raises plenty of legal-liability and regulatory questions.

Those with a passion for automated-vehicle innovations found much to entertain them on YouTube and Twitter during late September and early October this year. The big attraction was videos from Tesla owners, detractors and supporters showcasing the company's newest driver-assistance feature, called Smart Summon. Issued in an over-the-air software update, version 10.0, Smart Summon allows the owner to remotely pilot a parked vehicle to their location with the power of their finger.

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EDITORIAL: Word on the street at COMVEC

SAE Truck & Off-Highway Engineering: October 2019

Editor-in-Chief-Ryan Gehm
  • Magazine Article
  • 19TOFHP10_06
Published 2019-10-01 by SAE International in United States

Last month's SAE COMVEC technical conference in Indianapolis welcomed many high-level engineering leaders who spoke to show-goers about a range of important topics impacting on- and off-highway vehicles.

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Overview of Safety and Occupant Protection

  • Professional Development
  • C1955
Published 2019-07-16

Considerations for Collision Load Cases and Occupant Protection in Level 4 and 5 Autonomous Vehicles.