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- W3127761567 abstract "Safety is crucial for autonomous drones. This paper proposed a new application to realize a high-reliable drone under the edge computing environment. To realize safer drones, we focus on the unexpected and unsupposed situations in drone flight and aim to cope with the situations by calculating the countermeasures for various expected scenarios beforehand. Especially, this paper focused on local path planning, and parallelization of the local path planning is proposed to calculate the many paths to escape the expected obstacles in various scenarios. Experimental results show the effectiveness of the proposed method." @default.
- W3127761567 created "2021-02-15" @default.
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- W3127761567 date "2020-10-21" @default.
- W3127761567 modified "2023-09-26" @default.
- W3127761567 title "Parallelization of Local Path Planning for High Reliable Autonomous Drones" @default.
- W3127761567 cites W2163411428 @default.
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- W3127761567 doi "https://doi.org/10.1109/isocc50952.2020.9333111" @default.
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