A Receding Horizon Multi-Objective Planner for Autonomous Surface Vehicles in Urban Waterways
We propose a novel receding horizon planner for an autonomous surface vehicle (ASV) performing path planning in urban waterways. Feasible paths are found by repeatedly generating and searching a graph reflecting the obstacles observed in the sensor field-of-view. We also propose a novel method for m...
Main Authors: | Shan, Tixiao, Wang, Wei, Englot, Brendan, Ratti, Carlo, Rus, Daniela |
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Other Authors: | Massachusetts Institute of Technology. Department of Urban Studies and Planning |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2022
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Online Access: | https://hdl.handle.net/1721.1/144039 |
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