Hong-Kai Cao

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In this paper we present a visual navigation system for retrieving untethered autonomous underwater vehicle (AW). The vision qstern guides the .4LV into a retriever which is a tethered underwater robot. The visual navigation modules include target searchin& line tracking, and positioning. The vision system is a dedicated parallel image processor composed of(More)
This paper focuses on on-going work in the “Action” project related to the decisional processes that are required to allow teams of cooperating heterogeneous vehicles to achieve target localization and tracking missions. Autonomy is made possible thanks to embedded functions such as data fusion, planning and supervision, organized within each vehicle so(More)
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