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A Robust Visual Odometry and Precipice Detection System Using Consumer-grade Monocular Vision

Jason Campbell, Rahul Sukthankar, Illah Nourbakhsh, Ashish Pahwa

发表年份
2006
引用次数
138

摘要

We describe a monocular robot vision system which accomplishes accurate 3-DOF dead-reckoning, closed loop motion control, and precipice and obstacle detection, all in dynamic environments, using a single, consumer-grade web cam and typical laptop computer hardware. Simultaneous translation and rotation are accurately measured, and the camera need not be placed at the robot’s center of rotation. The algorithm is straightforward to implement and robust to noisy measurements. The software is based on open source computer vision libraries and is itself open source. It has been tested in a wide variety of real-world environments and on several different mobile robot platforms.

关键词

Computer visionLaptopArtificial intelligenceComputer scienceMonocularVisual odometryMonocular visionObject detectionOdometryRotation (mathematics)

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