The foresighted driver: future ADAS based on generalized predictive risk estimation

Separably developed functionality as well as increasing situation complexity poses problems for building, testing, and validating future Advanced Driving Assistance Systems (ADAS). These will have to deal with situations in which several current ADAS domains interplay. We argue that a generalized estimation of the future ADAS functions' benefit is required for efficient testing and evaluations, and propose a quantification based on an estimation of the predicted risk. The approach can be applied to several different types of risks and to such diverse scenarios as longitudinal driving, intersection crossing and lane changes with several traffic participants. Resulting trajectories exhibit a proactive, "foresighted" driver behavior which smoothly avoids potential future risks.

• Record URL:
  http://publications.lib.chalmers.se/records/fulltext/222422/local_222422.pdf
• 
• Corporate Authors:

  Chalmers University of Technology. SAFER Vehicle and Traffic Safety Centre

  ,    
• Authors:
  • Eggert, Julian
  • Klingelschmitt, Stefan
  • Damerow, Florian
• Conference:
  • FAST-zero'15: 3rd International Symposium on Future Active Safety Technology Toward zero traffic accidents, 2015
  • Location: Gothenburg , Sweden
  • Date: 2015-9-9 to 2015-9-11
• Publication Date: 2015

Language

• English

Media Info

• Pagination: pp 93-100
• Monograph Title: FAST-zero'15: 3rd international symposium on future active safety technology toward zero traffic accidents: September 9-11, 2015 Gothenburg, Sweden: proceedings

Subject/Index Terms

• TRT Terms: Calculation; Crashes; Driver support systems; Hazards; Mathematical models
• ITRD Terms: 1643: Accident; 8743: ADAS; 8743: Advanced driver assistance system; 6464: Calculation; 8743: Driving aid (electronic); 8743: Electronic driving aid; 8743: Electronic trafic aid; 6473: Mathematical model; 9150: Risk
• Subject Areas: Safety and Human Factors; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01602266
• Record Type: Publication
• Source Agency: Swedish National Road and Transport Research Institute (VTI)
• Files: ITRD, VTI
• Created Date: Jun 20 2016 1:27PM