Stereo vision for planetary rovers: stochastic modeling to near real-time implementation
International Journal of Computer Vision
A Stereo Machine for Video-Rate Dense Depth Mapping and Its New Applications
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Weakly-calibrated stereo perception for rover navigation
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
An integrated stereo-based approach to automatic vehicle guidance
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
VisionBug: A Hexapod Robot Controlled by Stereo Cameras
Autonomous Robots
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
Real-time detection of out-of-plane objects in stereo vision
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
Rectification-Free multibaseline stereo for non-ideal configurations
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Hi-index | 0.00 |
This paper presents a multibaseline stereo technique specially suited to detecting obstacles. A method is described for weakly calibrating a set of multibaseline stereo cameras with high accuracy. This method is then used to tailor the stereo search space to the special case where the world in front of the cameras consists mainly of nearly horizontal planar surfaces (the ground), where we are interested in deviations from those planar surfaces (obstacles). The resulting disparity maps are presented and compared to the output of a traditional stereo algorithm.