Publication Date:
2019-08-15
Description:
Detecting water hazards is a significant challenge to unmanned ground vehicle autonomous off-road navigation. This paper focuses on detecting the presence of water during the daytime using color cameras. A multi-cue approach is taken. Evidence of the presence of water is generated from color, texture, and the detection of reflections in stereo range data. A rule base for fusing water cues was developed by evaluating detection results from an extensive archive of data collection imagery containing water. This software has been implemented into a run-time passive perception subsystem and tested thus far under Linux on a Pentium based processor.
Keywords:
Instrumentation and Photography
Type:
24th Army Science Conference; Nov 29, 2005 - Dec 02, 2005; Orlando, FL; United States
Format:
text
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