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...

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Bibliographic Details
Main Authors: Shan, Tixiao, Wang, Wei, Englot, Brendan, Ratti, Carlo, Rus, Daniela
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
Online Access:https://hdl.handle.net/1721.1/144039

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