Automatic incident detection and classification at intersections
Konferensbidrag (offentliggjort, men ej förlagsutgivet), 2009

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.

Författare

Jorge Alejandro León Cano

Jordanka Kovaceva

Magdalena Lindman

Mattias Brännström

Signaler och system, System- och reglerteknik, Mekatronik

21st International Conference on Enhanced Safety of Vehicles, ESV

Paper 09-0234

Ämneskategorier

Annan data- och informationsvetenskap

Datavetenskap (datalogi)

Annan elektroteknik och elektronik