Real Time Fusion of Motion and Stereo Using Flow/Depth Constraint for Fast Obstacle Detection
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Estimation with Applications to Tracking and Navigation
Estimation with Applications to Tracking and Navigation
A robust approach for ego-motion estimation using a mobile stereo platform
IWCM'04 Proceedings of the 1st international conference on Complex motion
Range Flow Estimation based on Photonic Mixing Device Data
International Journal of Intelligent Systems Technologies and Applications
Moving Object Segmentation Using Optical Flow and Depth Information
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
The Stixel World - A Compact Medium Level Representation of the 3D-World
Proceedings of the 31st DAGM Symposium on Pattern Recognition
Estimating the driving state of oncoming vehicles from a moving platform using stereo vision
IEEE Transactions on Intelligent Transportation Systems
Integrating disparity images by incorporating disparity rate
RobVis'08 Proceedings of the 2nd international conference on Robot vision
Towards optimal stereo analysis of image sequences
RobVis'08 Proceedings of the 2nd international conference on Robot vision
Spatio-temporal 3D pose estimation of objects in stereo images
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Resolving stereo matching errors due to repetitive structures using model information
Pattern Recognition Letters
Dense, robust, and accurate motion field estimation from stereo image sequences in real-time
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Spatio-temporal stereo disparity integration
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Improving sub-pixel accuracy for long range stereo
Computer Vision and Image Understanding
Mid-level segmentation and segment tracking for long-range stereo analysis
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part I
An evaluation framework for stereo-based driver assistance
Proceedings of the 15th international conference on Theoretical Foundations of Computer Vision: outdoor and large-scale real-world scene analysis
Monocular depth from motion using a new closed-form solution
ICIRA'12 Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part III
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
CYKLS: detect pedestrian's dart focusing on an appearance change
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Kalman-filter based spatio-temporal disparity integration
Pattern Recognition Letters
A high-performance dense block matching solution for automotive 6D-vision
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
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Obstacle avoidance is one of the most important challenges for mobile robots as well as future vision based driver assistance systems. This task requires a precise extraction of depth and the robust and fast detection of moving objects. In order to reach these goals, this paper considers vision as a process in space and time. It presents a powerful fusion of depth and motion information for image sequences taken from a moving observer. 3D-position and 3D-motion for a large number of image points are estimated simultaneously by means of Kalman-Filters. There is no need of prior error-prone segmentation. Thus, one gets a rich 6D representation that allows the detection of moving obstacles even in the presence of partial occlusion of foreground or background.