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

More information

Latest update

2021-01-13