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- W4378192442 abstract "The present paper proposes a method to enhance the indoor navigation of an intelligent wheelchair through the integration of a semantic layer into the navigation framework. Semantic navigation, which refers to a robot’s ability to comprehend its surroundings, is of particular significance in the case of intelligent wheelchairs. To address the problem of negotiating narrow passages, the proposed solution employs a mapping layer that automatically detects and annotates these passages, as well as a planning layer that utilizes the resulting semantic information to guide lower-level planners. The feasibility of the proposed solution was evaluated through a series of experiments in both simulated and real-world scenarios." @default.
- W4378192442 created "2023-05-26" @default.
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- W4378192442 date "2023-04-26" @default.
- W4378192442 modified "2023-10-09" @default.
- W4378192442 title "Semantic Navigation Applied to Narrow Passages for Intelligent Wheelchairs" @default.
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- W4378192442 doi "https://doi.org/10.1109/icarsc58346.2023.10129568" @default.
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