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Richard Camilli

4 accepted papers

2022

Hybrid Visual SLAM for Underwater Vehicle Manipulator Systems

RA-L 2022

This letter presents a novel visual feature based scene mapping method for underwater vehicle manipulator systems (UVMSs), with specific emphasis on robust mapping in natural seafloor environments. Our method uses GPU accelerated SIFT features in a graph optimization framework to build a feature map

Cited by 33SourcecodeScholar