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  • León Cano, Jorge Alejandro, et al. (author)
  • Automatic incident detection and classification at intersections
  • 2009
  • In: 21st International Conference on Enhanced Safety of Vehicles, ESV. ; , s. Paper 09-0234
  • Conference paper (other academic/artistic)abstract
    • Collisions at intersections are common and their consequences are often severe. This paper addresses the need for information on accident causation; a knowledge that can be used to obtain more effective countermeasures. A novel method that can be applied to data recorded in a groundbased observation system or similar is proposedfor classifying vehicle interactions into a set ofpredefined traffic scenarios. The classification isbased on possible combinations of trajectories of two interacting vehicles that have passed through an intersection. Additionally, the authors present an incident detection algorithm that uses the classified vehicle interactions. This algorithm constitutes the core of a video-based automatic incident detection at intersections (AIDI) system. The performance of the AIDI system was successfullyverified both in a driving simulator and in real traffic conditions.
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Type of publication
conference paper (1)
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other academic/artistic (1)
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Kovaceva, Jordanka, ... (1)
Brännström, Mattias, ... (1)
Lindman, Magdalena (1)
León Cano, Jorge Ale ... (1)
University
Chalmers University of Technology (1)
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English (1)
Research subject (UKÄ/SCB)
Natural sciences (1)
Engineering and Technology (1)
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