DC4. Road user profiling using multimodal data of naturalistic driving databases

Hosts: UH & CARDIO

Objectives:

• To automatically create road user profiles from naturalistic driving data
• To create automated analysis techniques for extraction of important safety features and risk factors from road environment video data
• To translate results of driving profiling into effective recommendation of videos and post-trip personalised coaching for improving safe driving behaviour

Expected results:

• The creation of AI software for improved road user scoring and profiling
• The creation of AI software for the extraction of safety features and risk factors from dashcam videos
• The translation of driving profiles into intelligent recommendation of relevant videos and post-trip personalised coaching for improving road user behaviour

Planned secondment(s):

• Image processing lab at the ISEL Purpose: to obtain deeper knowledge of AI techniques for automatic analysis of video data