Computation of component image velocity from local phase information
International Journal of Computer Vision
International Journal of Computer Vision
Performance of optical flow techniques
International Journal of Computer Vision
Autonomous Driving Goes Downtown
IEEE Intelligent Systems
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
An adaptable time-delay neural-network algorithm for image sequence analysis
IEEE Transactions on Neural Networks
Towards optimal stereo analysis of image sequences
RobVis'08 Proceedings of the 2nd international conference on Robot vision
6D-vision: fusion of stereo and motion for robust environment perception
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
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Early detection of moving obstacles is an important goal for many vision based driver assistance systems. In order to protect pedestrians, in particular children, in inner city traffic, we are using stereo vision and motion analysis in order to manage those situations. The flow/depth constraint combines both methods in an elegant way and leads to a robust and powerful detection scheme. Pyramidal Opt. Flow computation together with compensation of rotational camera ego-motion expands the measurement range, enabling us to use the system also at higher speeds.