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Automatic incident detection and classification at intersections

Jorge Alejandro León Cano ; Jordanka Kovaceva ; Magdalena Lindman ; Mattias Brännström (Institutionen för signaler och system, Mekatronik)
21st International Conference on Enhanced Safety of Vehicles, ESV p. Paper 09-0234. (2009)
[Konferensbidrag, övrigt]

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 proposed for classifying vehicle interactions into a set of predefined traffic scenarios. The classification is based 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 successfully verified both in a driving simulator and in real traffic conditions.



Denna post skapades 2009-11-18. Senast ändrad 2016-01-07.
CPL Pubid: 101853

 

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Institutioner (Chalmers)

Institutionen för signaler och system, Mekatronik (2005-2017)

Ämnesområden

Databehandling
Övrig informationsteknik
Övrig elektroteknik, elektronik och fotonik

Chalmers infrastruktur