NITCAD - Developing an object detection, classification and stereo vision dataset for autonomous navigation in Indian roads

Stereo Vision for Obstacle Detection in Autonomous Navigation

Autonomous Cross-Country Navigation Using Stereo Vision

This paper reports on an autonomous robot designed for operation in uncharted outdoor environments. To accomplish this we have developed a robot vehicle equipped with wide field-of-view stereo vision and high accuracy inertial navigation. The software resident onboard the vehicle uses binoculor cameras, mounted in a novel configuration, to produce dense range maps of the environment. This data ...

Vision-based obstacle detection and avoidance for autonomous land vehicle navigation in outdoor roads

Ž . An effective approach to obstacle detection and avoidance for autonomous land vehicle ALV navigation in outdoor road environments using computer vision and image sequence techniques is proposed. To judge whether an object newly appearing in the image of the current cycle taken by the ALV is an obstacle, the object shape boundary is first extracted from the image. After the translation from ...

Stereo vision based terrain mapping for off-road autonomous navigation

Successful off-road autonomous navigation by an unmanned ground vehicle (UGV) requires reliable perception and representation of natural terrain. While perception algorithms are used to detect driving hazards, terrain mapping algorithms are used to represent the detected hazards in a world model a UGV can use to plan safe paths. There are two primary ways to detect driving hazards with percepti...

Performance Improvements for Autonomous Cross-Country Navigation Using Stereo Vision