Paper
28 October 2016 Research on robot navigation vision sensor based on grating projection stereo vision
Xiaoling Zhang, Yinsheng Luo, Yuchi Lin, Lei Zhu
Author Affiliations +
Proceedings Volume 9683, 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies; 96831Y (2016) https://doi.org/10.1117/12.2242569
Event: Eighth International Symposium on Advanced Optical Manufacturing and Testing Technology (AOMATT2016), 2016, Suzhou, China
Abstract
A novel visual navigation method based on grating projection stereo vision for mobile robot in dark environment is proposed. This method is combining with grating projection profilometry of plane structured light and stereo vision technology. It can be employed to realize obstacle detection, SLAM (Simultaneous Localization and Mapping) and vision odometry for mobile robot navigation in dark environment without the image match in stereo vision technology and without phase unwrapping in the grating projection profilometry. First, we research the new vision sensor theoretical, and build geometric and mathematical model of the grating projection stereo vision system. Second, the computational method of 3D coordinates of space obstacle in the robot’s visual field is studied, and then the obstacles in the field is located accurately. The result of simulation experiment and analysis shows that this research is useful to break the current autonomous navigation problem of mobile robot in dark environment, and to provide the theoretical basis and exploration direction for further study on navigation of space exploring robot in the dark and without GPS environment.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaoling Zhang, Yinsheng Luo, Yuchi Lin, and Lei Zhu "Research on robot navigation vision sensor based on grating projection stereo vision", Proc. SPIE 9683, 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, 96831Y (28 October 2016); https://doi.org/10.1117/12.2242569
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KEYWORDS
Charge-coupled devices

Sensors

Robot vision

Mathematical modeling

Mobile robots

Visualization

CCD image sensors

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