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Estimating Surrounding Vehicles' Pose using Computer Vision

Jesus Nuevo ; Ignacio Parra ; Jonas Sjöberg (Institutionen för signaler och system, Mekatronik) ; Luis Bergasa
In proceeding of 13th International IEEE Conference on Intelligent Transportation Systems - ITSC 2010, September 19 - 22, 2010, Madeira, Portugal. p. 1863-1868. (2010)
[Konferensbidrag, refereegranskat]

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.

Denna post skapades 2010-07-08. Senast ändrad 2017-06-28.
CPL Pubid: 123780


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Institutioner (Chalmers)

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



Chalmers infrastruktur