Start Date: 10/2/2019 12:00 PM PDT
End Date: 10/2/2019 1:15 PM PDT
Venue Name: Betts, Patterson & Mines, P.S. Location:
One Convention Place
701 Pike Street, Suite 1400
Seattle, WA United States 98101
Abstract: Advanced Driver Assistance Systems (ADAS) such as forward collision warning, lane-keep assist, and lane departure warning systems are becoming more commonplace and have already been implemented as standard equipment in increasingly large numbers of vehicles. The sensors, computing systems, and vehicle control technologies that enable ADAS provide the foundations for greater levels of vehicle automation, including tomorrow's fully autonomous vehicles (AVs). For both ADAS and AVs, it is critical that drivers understand what the vehicle’s capabilities and limitations are as well as when there is a need for intervention. The vehicles and the advanced technologies present visual, auditory, and/or haptic warnings to drivers to help them provide timely and effective responses to hazards and potentially unsafe conditions. However, ADAS and AV technologies profoundly change the traditional role of the driver, and these changes will lead to a corresponding set of challenges to the implementation of in-vehicle warnings. Anyone involved in the evaluation and litigation of advanced vehicle systems and technologies will benefit from participating.
This presentation will provide a:
- Brief introduction to the discipline of human factors,
- Discussion of the science of warnings and hazard communication
- Review of how in-vehicle warnings work - including trade-offs in warning design,
- Description of the changing role of the driver in ADAS and AVs,
- Discussion of the challenges and opportunities these changes pose for research, development, and the insurance and legal industries.
Speaker Bio: Dr. John Campbell is a Senior Managing Scientist at Exponent with over 30 years of experience examining issues related to roadway safety and the contributing factors to roadway crashes. He has evaluated the relationships between the: (1) driver characteristics & behaviors, (2) traffic engineering & roadway design elements, and (3) vehicle factors that contribute to crashes. His scientific expertise includes the development and design of advanced driver-vehicle interfaces, including head-up displays, night vision, collision warning, navigation, speech recognition, driver monitoring systems, advanced input devices, and user interfaces for connected and automated vehicles. Dr. Campbell has also developed design guidelines and other tools to support roadway design & operations, selection of countermeasures, road safety evaluations, and diagnostic assessments of crashes. He serves as Chair and Member of committees, sub-committees, and task forces for the Transportation Research Board of the National Academies of Science and the Society of Automotive Engineers.
1 CLE credit approved.
PF Chang's will be provided for lunch.