Real-time obstacle avoidance for manipulators and mobile robots
International Journal of Robotics Research
A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vision and navigation for the Carnegie-Mellon navlab
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special Issue on Industrial Machine Vision and Computer Vision Technology:8MPart
Using Perceptual Organization to Extract 3D Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence
CVGIP: Image Understanding
Function-based generic recognition for multiple object categories
CVGIP: Image Understanding
Robot Motion Planning
Artificial Vision for Mobile Robots: Stereo Vision and Multisensory Perception
Artificial Vision for Mobile Robots: Stereo Vision and Multisensory Perception
Generic Object Recognition: Building and Matching Coarse Descriptions from Line Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Applying Two-dimensional Delaunay Triangulation to Stereo Data Interpolation
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Indoor robot navigation with a generic map
Indoor robot navigation with a generic map
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We describe a robot system that can navigate in indoorenvironments, such as office buildings and laboratories, withouthaving a detailed map of its environment and which can accept symboliccommands such as “go through the door on the left of the first deskon your right” (expressed in a formal language). Such a system canoperate in different instances of similar environments and does notrequire the effort of constructing a detailed map of theenvironment. It is also not sensitive to changes in the environmentsuch as those caused by moving furniture. It uses genericrepresentations of the objects in the environment such as walls, desksand doors to recognize them for the purposes of landmark detection andavoids obstacles which may not be modeled explicitly.