{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T00:11:33Z","timestamp":1648685493921},"reference-count":2,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Encyclopedia Semant. Comput. Robot. Int."],"published-print":{"date-parts":[[2018,6]]},"abstract":"<jats:p> The problem of cooperative obstacle avoidance by a group of unmanned ground vehicles (UGVs) and unmanned air vehicles (UAVs) during a typical search mission is addressed in this paper. The group of UAVs and UGVs are performing a search operation in the designated area. All the UAVs and UGVs are equipped with a vision sensor\/LIDAR to identify the possible obstacles in the search space. Due to their operation on the ground, UGVs are more likely to encounter obstacles. The obstacle avoidance for UGV under the event of sensor failure is done with environment information from the nearest UAV. The UAV plans its trajectory according to the UGV\u2019s expected future trajectory, leading towards the base station. The UGV replans its trajectory to avoid obstacles after obtaining the information from its nearest UAV. A simulation study is performed with 10 UAVs and five UGVs performing a search mission in 1[Formula: see text]km[Formula: see text][Formula: see text][Formula: see text]1[Formula: see text]km area. The proposed obstacle avoidance method is experimentally validated in the outdoor environment with an autonomous UAV equipped with a camera and an autonomous UGV navigating based on GPS localization and environment information from the UAV. <\/jats:p>","DOI":"10.1142\/s2529737618500028","type":"journal-article","created":{"date-parts":[[2018,6,14]],"date-time":"2018-06-14T05:52:17Z","timestamp":1528955537000},"page":"1850002","source":"Crossref","is-referenced-by-count":2,"title":["Cooperative obstacle avoidance for heterogeneous unmanned systems during search mission"],"prefix":"10.1142","volume":"02","author":[{"given":"K.","family":"Harikumar","sequence":"first","affiliation":[{"name":"ST Engineering-NTU Corporate Laboratory, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Titas","family":"Bera","sequence":"additional","affiliation":[{"name":"ST Engineering-NTU Corporate Laboratory, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rajarshi","family":"Bardhan","sequence":"additional","affiliation":[{"name":"ST Engineering-NTU Corporate Laboratory, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Suresh","family":"Sundaram","sequence":"additional","affiliation":[{"name":"ST Engineering-NTU Corporate Laboratory, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore"},{"name":"School of Computer Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2018,7,2]]},"reference":[{"key":"S2529737618500028BIB001","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2015.2491878"},{"key":"S2529737618500028BIB011","unstructured":"J. J. E. Slotine and  W. Li,  Applied Nonlinear Control, Chapter 3  (Prentice Hall,  USA,  1991), pp. 58\u201362."}],"container-title":["Encyclopedia with Semantic Computing and Robotic Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S2529737618500028","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T16:40:19Z","timestamp":1565109619000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S2529737618500028"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6]]},"references-count":2,"journal-issue":{"issue":"01","published-online":{"date-parts":[[2018,7,2]]},"published-print":{"date-parts":[[2018,6]]}},"alternative-id":["10.1142\/S2529737618500028"],"URL":"https:\/\/doi.org\/10.1142\/s2529737618500028","relation":{},"ISSN":["2529-7376","2529-7392"],"issn-type":[{"value":"2529-7376","type":"print"},{"value":"2529-7392","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,6]]}}}