Estimating Surrounding Vehicles' Pose using Computer Vision
Paper i proceeding, 2010

This paper presents a computer vision-based approach to tracking surrounding vehicles and estimating their trajectories, in order to detect potentially dangerous situations. Images are acquired using a camera mounted in the ego vehicle. Estimations of the distance, velocity and orientation of other vehicles on the road are obtained by detecting their lights and shadow. Because 3D information is not readily available in a mono-camera system, several sets of constraints and assumptions on the geometry of both road and vehicles are proposed and tested in this paper. Kalman filters are used to track the detected vehicles. We also study the advantages of tracking the vehicles in road space (world coordinates), or tracking the position of the lights and shadows on the image. The performance of the different approaches is evaluated on video recorded in an urban environment.


Jesus Nuevo

Universidad de Alcala

Ignacio Parra

Universidad de Alcala

Jonas Sjöberg

Chalmers, Signaler och system, System- och reglerteknik, Mekatronik

Luis Bergasa

Universidad de Alcala

In proceeding of 13th International IEEE Conference on Intelligent Transportation Systems - ITSC 2010, September 19 - 22, 2010, Madeira, Portugal.



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