Collaborative Visual SLAM Using Compressed Feature Exchange

In the field of robotics, collaborative simultaneous localization and mapping (SLAM) is still a challenging problem. The exploration of unknown large-scale environments benefits from sharing the work among multiple agents possibly equipped with different abilities, such as aerial or ground-based veh...

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Veröffentlicht in:	IEEE robotics and automation letters 2019-01, Vol.4 (1), p.57-64
Hauptverfasser:	Van Opdenbosch, Dominik, Steinbach, Eckehard
Format:	Artikel
Sprache:	eng
Schlagworte:	Cameras Coding Collaboration Computer architecture Data compression Data exchange Encoding Feature extraction localization mapping Multi-robot systems Reduction Robotics Servers Simultaneous localization and mapping SLAM Source code visual-based navigation Visualization
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