Vision for Mobile Robot Navigation: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Preliminary Results on the use of Stereo, Color Cameras and Laser Sensors in Antarctica
The Sixth International Symposium on Experimental Robotics VI
Vision-based neural network road and intersection detection and traversal
IROS '95 Proceedings of the International Conference on Intelligent Robots and Systems-Volume 3 - Volume 3
The Marulan Data Sets: Multi-sensor Perception in a Natural Environment with Challenging Conditions
International Journal of Robotics Research
Radar-based perception for autonomous outdoor vehicles
Journal of Field Robotics
Self-learning classification of radar features for scene understanding
Robotics and Autonomous Systems
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For mobile robots operating in outdoor environments, perception is a critical task. Construction, mining, agriculture, and planetary exploration are common examples where the presence of dust, smoke, and rain, and the change in lighting conditions can dramatically degrade conventional vision and laser sensing. Nonetheless, environment perception can still succeed under compromised visibility through the use of a millimeter-wave radar. This paper presents a novel method for scene segmentation using a short-range radar mounted on a ground vehicle. Issues relevant to radar perception in an outdoor environment are described along with field experiments and a quantitative comparison to laser data. The ability to classify the scene and significant improvement in range accuracy are demonstrated showing the utility of millimeterwave radar as a robotic sensor for persistent and accurate perception in natural scenarios.