Tuesday Program Overview

June 16

Room 1

8:00 - 8:45 a.m.  EDT
Keynote: Holistic Thermal Energy Modelling for Full Hybrid Electric Vehicles (HEVs)

Tom Fletcher, Loughborough University

9:15 - 10:00 a.m.  EDT
Keynote: Is the “K Value” of an Engine Truly Fuel Independent? 

Roger Cracknell, Shell

10:30 - 11:15 a.m. EDT
Technical Expert Panel Discussion: ADAS AD General and Advanced

This Panel addresses general domains such as market trend, consumer acceptance, standards, as well as emerging topics in automated vehicle systems such as End-to-End automated driving using machine learning, cooperative connected and AVS, sensor data sharing and vehicle’s intention prediction.

11:45 - 12:30 p.m.  EDT
Technical Expert Panel Discussion: Video Analysis, Photogrammetry, and UAVs: The State of the Art

This panel will discuss the modern techniques that analysts use to extract useful information from photographs and video, and will include a discussion on combining photogrammetry techniques with Unmanned Aerial Systems (UAS, or drones) to map accident sites and traffic patterns.

1:00 - 1:45 p.m.  EDT
Technical Expert Panel Discussion: Automotive Manufacturing in the New Normal

The question now more than ever becomes how manufacturers ensure that they have a clear vision of the road ahead. Join as industry experts weigh in on how to ensure business continuity and enterprise resilience today to six months from now and beyond.

June 16

Room 2

8:00 - 8:45 a.m. EDT
Technical Expert Panel Discussion: Rear-seat occupant protection, current and emerging topics

For novel seating compartments of the future, the rear seats will be the foremost front-facing seats. Implications for rear passenger safety now and in the future will be discussed.

9:15 - 10:00 a.m. EDT
Keynote: Utilizing AI Design for Manufacturing

Amy Ishiguro, AEye Inc.

Session Description TBD

1:00 - 1:45 p.m. EDT
Technical Expert Panel Discussion: ADAS and AD Localization, Sensing and Perception

This panel focus on technologies and processes for ADAS and AVS vehicle localization such as GPS and map-based solutions, perception such as camera, lidar and multi-sensor-based solutions.