Vision-based docking under variable lighting conditions

Robin R. Murphy; Jeffrey A. Hyams; Brian W. Minten; Mark Micire

doi:10.1117/12.391616

10 July 2000 Vision-based docking under variable lighting conditions

Robin R. Murphy, Jeffrey A. Hyams, Brian W. Minten, Mark Micire

Proceedings Volume 4024, Unmanned Ground Vehicle Technology II; (2000) https://doi.org/10.1117/12.391616
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

This paper describes our progress in near-range (within 0 to 2 meters) ego-centric docking using vision under variable lighting conditions (indoors, outdoors, dusk). The docking behavior is fully autonomous and reactive, where the robot directly responds to the ratio of the number of pixels of two colored fiducials without constructing an explicit model of the landmark. This is similar to visual homing in insects and has a low computational complexity of O(n²) and a fast update rate. In order to accurately segment the colored fiducials under constrained lighting conditions, the spherical coordinate transform (SCT) color space is used, rather than RGB or HSV, in conjunction with an adaptive segmentation algorithm. Experiments with a daughter robot docking with a mother robot were collected. Results showed that 1) vision-based docking is faster than teleoperation yet equivalent in performance and 2) adaptive segmentation is more robust under challenging lighting conditions, including outdoors.

Citation Download Citation

Robin R. Murphy, Jeffrey A. Hyams, Brian W. Minten, and Mark Micire "Vision-based docking under variable lighting conditions", Proc. SPIE 4024, Unmanned Ground Vehicle Technology II, (10 July 2000); https://doi.org/10.1117/12.391616

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