@inproceedings{535bd41e71e847df82fae8f14f5f8ea0,
title = "Trajectory planning with collision avoidance for autonomous helicopter by evolutionary methods",
abstract = "An optimal trajectory for an unmanned helicopter, based on evolutionary methods with waypoint constraints, expected and unexpected obstacles, is developed. The method can be implemented for real time computations for unexpected changes in the environment. The individuals in the population with entrapment in concave obstacles are eliminated automatically based on fitness values by virtue of their parallel evaluations. Two options of collision avoidance with another member of the fleet are investigated for intersecting flight paths with acute and obtuse angles. Finally the evolutionary method is validated by applying to a problem in a highly constrained area with concave obstacles.",
author = "L. Zhao and Murthy, {V. R.}",
year = "2006",
doi = "10.2514/6.2006-232",
language = "English (US)",
isbn = "1563478072",
series = "Collection of Technical Papers - 44th AIAA Aerospace Sciences Meeting",
publisher = "American Institute of Aeronautics and Astronautics Inc.",
pages = "2808--2833",
booktitle = "Collection of Technical Papers - 44th AIAA Aerospace Sciences Meeting",
note = "44th AIAA Aerospace Sciences Meeting 2006 ; Conference date: 09-01-2006 Through 12-01-2006",
}