@inproceedings{319418c75b4c4c99a03ed2b03b577fa7,
title = "Autonomous vision-based safe area selection algorithm for UAV emergency forced landing",
abstract = "In order to solve forced landing for Unmanned Aerial Vehicle (UAV) in emergency situations, an autonomous vision-based algorithm to select safe forced landing area was proposed. To detect the slowly changing edges and weak edges, the algorithm improved the canny operator to detect safe landing area without obstacles. Then eroding and dilating close operation was adopted to select the area. To analyze its terrain, the DEM data was acquired. By extracting features of interesting area, fast classification and recognition of landing area based on Bayesian theory was carried out. The algorithm presents a fast and accurate result on the forced landing area selection for UAVs.",
keywords = "Bayesian Classifier, Forced Landing, Improved Canny",
author = "Aiying Lu and Wenrui Ding and Jiaxing Wang and Hongguang Li",
year = "2012",
doi = "10.1007/978-3-642-34041-3\_37",
language = "英语",
isbn = "9783642340406",
series = "Communications in Computer and Information Science",
number = "PART 2",
pages = "254--261",
booktitle = "Information Computing and Applications - Third International Conference, ICICA 2012, Proceedings",
edition = "PART 2",
note = "3rd International Conference on Information Computing and Applications, ICICA 2012 ; Conference date: 14-09-2012 Through 16-09-2012",
}