The problem of minimum risk path planning for flying robots in dangerous environments

Andrey V. Savkin; Hailong Huang

doi:10.1109/ChiCC.2016.7554196

The problem of minimum risk path planning for flying robots in dangerous environments

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

10 Citations (Scopus)

Abstract

We consider the problem of navigating an aircraft in a threat environment to its destination while minimizing the maximum threat level and the length of the aircraft path. The proposed method to construct optimal low-risk aircraft paths involves a simple geometric procedure and is very computationally efficient. The effectiveness of the developed algorithm is confirmed by a number of examples.

Original language	English
Title of host publication	2016 35th Chinese Control Conference
DOIs	https://doi.org/10.1109/ChiCC.2016.7554196
Publication status	Published - Jul 2016
Externally published	Yes

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10.1109/ChiCC.2016.7554196

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M3 - Conference article published in proceeding or book

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The problem of minimum risk path planning for flying robots in dangerous environments

Abstract

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