An interval based representation of occupancy information for driver assistance systems

Future Advanced Driver Assistance Systems (ADAS) require detailed information about occupancy states in the vehicle's local environment. In contrast to widespread occupancy grids, this information should be represented in a compact, scalable and easy-to-interpret data structure. In this paper, the authors show how occupancy probabilities can efficiently be represented in their two-dimensional (2D) Interval Map framework. The basic idea of this approach is to discretize the vehicle's environment only in longitudinal direction and to avoid quantization errors in lateral direction by storing continuous values. In order to correctly deal with dynamic obstacles in ADAS scenarios, the map also interacts with a model based object tracking. The comparison of the authors' experimental results to a ground truth illustrates the differences of grid and interval based environment representations. A tested collision avoidance function yields similar results for both representations, while computation times and memory requirements are substantially improved by the application of the 2D Interval Map.

• Record URL:
  https://doi.org/10.1109/ITSC.2013.6728205
• Availability:
  • Find a library where document is available. Order URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6712176
• Supplemental Notes:
  • Abstract reprinted with permission of IEEE.
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

  3 Park Avenue, 17th Floor
  New York, NY  United States  10016-5997
• Authors:
  • Weiherer, T
  • Bouzouraa, S
  • Hofmann, U
• Conference:
  • 16th International IEEE Conference on Intelligent Transportation Systems (ITSC)
  • Location: The Hague , Netherlands
  • Date: 2013-10-6 to 2013-10-9
• Publication Date: 2013-10

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 21-27
• Monograph Title: 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)

Subject/Index Terms

• TRT Terms: Crash avoidance systems; Driver support systems; Proximity detectors; Sensors; Vehicle occupancy
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment; I73: Traffic Control; I90: Vehicles;

Filing Info

• Accession Number: 01563210
• Record Type: Publication
• ISBN: 9781479929146
• Files: TRIS
• Created Date: May 18 2015 11:00AM