Simulation-Driven Validation of Advanced Driving-Assistance Systems

Advanced driving-assistance systems (ADAS) have recently received increasing attention from the car industry. ADAS development represents a considerable effort to obtain efficient and reliable systems. Driving several million kilometers is necessary to validate a system. Thus, there are strong needs to ease the development and validation processes. In this context, computer simulation techniques are a candidate solution to this problem since running digital scenarios saves time, money and human resources. Up until now, several simulators have been developed. In the first part of this paper the authors present one of these simulators, i.e. Pro-SiVIC™, as a tool that is able to simulate and validate different sensors, control and path planning algorithms for ADAS. Pro-SiVIC™ connected with other tools is able to simulate/emulate vehicle components and road environment elements (e.g. perception sensors, wheel-road contacts, chassis characteristics, road side objects including their sensor responses, etc.). However, mainly in ADAS, sound assessment is a difficult task; therefore this paper approaches the related methodology by focusing the effort on defining the assessment criterion. Based on some ADAS developments, assessment examples are given.

• Record URL:
  https://doi.org/10.1016/j.sbspro.2012.06.1096
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1877042812028327
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770428
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier.
• Authors:
  • Belbachir, Assia
  • Smal, Jean-Christophe
  • Blosseville, Jean-Marc
  • Gruyer, Dominique
• Conference:
  • Transport Research Arena 2012
  • Location: Athens , Greece
  • Date: 2012-4-23 to 2012-4-26
• Publication Date: 2012

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: pp 1205-1214
• Serial:
  • Procedia - Social and Behavioral Sciences
  • Volume: 48
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1877-0428
  • Serial URL: http://www.sciencedirect.com/science/journal/18770428/53
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Driver support systems; Evaluation and assessment; Simulation; Validation
• Subject Areas: Highways; Vehicles and Equipment; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01490484
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 21 2013 11:31AM