AI for Analysis for Naturalistic Driving Data
Research Project
, 2020
– 2022
The purpose of this project is to apply AI to big naturalistic datasets (naturalistic data is data collected by road users while following their daily routine) for the automated extraction of human state and intention from videos. Although previous work addressed glance behavior, emotions and secondary tasks, the results are still too preliminary and limited to support automated vehicles. This project will make a major step forward in this effort leveraging on the complementary expertise of the PIs and their groups and the unique data available at SAFER.
Participants
Christopher Zach (contact)
Forskningsprofessor at Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering, Imaging and Image Analysis
Marco Dozza
Full Professor at Chalmers, Mechanics and Maritime Sciences, Vehicle Safety, Crash Analysis and Prevention
Dag Wedelin
Full Professor at Chalmers, Computer Science and Engineering (Chalmers), Data Science
Funding
Chalmers AI Research Centre
Funding Chalmers participation during 2020–2022
AoA Transport Funds
Funding Chalmers participation during 2020–2022
Related Areas of Advance and Infrastructure
Information and Communication Technology
Areas of Advance