Survey of Autonomous Imaging

This paper reports the initial results of an effort to develop simple and fast vision algorithms on compact and imoeddaDle hardware for the guidance and control of an autonomous underwater vehicle. The specific application involves tracking underwater cables and chains. Feature points are identified in the underwater video images using a technique which combines segmentation by gray level and run length. Hough transformation is then used to find the straight line in the image. The process is performed at a throughput of approximately 1 image per second using a PC-bus video frame grabber and a PC/AT compatible micro-computer.

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Autonomous vehicles for underwater search and survey

Eppig¹

Proceedings of the 1985 4th International Symposium on Unmanned Untethered Submersible Technology

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Survey of Autonomous Imaging

Cited by 4 publications

References 27 publications

Time-Lapse Underwater Photography System with Event Sensor Capability

Time-Lapse Underwater Photography System with Event Sensor Capability

Real-time pattern recognition for guidance of an autonomous undersea submersible

Autonomous vehicles for underwater search and survey

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