{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,25]],"date-time":"2026-01-25T09:00:00Z","timestamp":1769331600969,"version":"3.49.0"},"reference-count":0,"publisher":"Copernicus GmbH","license":[{"start":{"date-parts":[[2017,8,24]],"date-time":"2017-08-24T00:00:00Z","timestamp":1503532800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci."],"abstract":"<jats:p>Abstract. The Unmanned Aerial Vehicles (UAV) and its applications are growing for both civilian and military purposes. The operability of an UAV proved that some tasks and operations can be done easily and at a good cost-efficiency ratio. Nowadays, an UAV can perform autonomous missions. It is very useful to certain UAV applications, such as meteorology, vigilance systems, agriculture, environment mapping and search and rescue operations. One of the biggest problems that an UAV faces is the possibility of collision with other objects in the flight area. To avoid this, an algorithm was developed and implemented in order to prevent UAV collision with other objects. \u201cSense and Avoid\u201d algorithm was developed as a system for UAVs to avoid objects in collision course. This algorithm uses a Light Detection and Ranging (LiDAR), to detect objects facing the UAV in mid-flights. This light sensor is connected to an on-board hardware, Pixhawk\u2019s flight controller, which interfaces its communications with another hardware: Raspberry Pi. Communications between Ground Control Station and UAV are made via Wi-Fi or cellular third or fourth generation (3G\/4G). Some tests were made in order to evaluate the \u201cSense and Avoid\u201d algorithm\u2019s overall performance. These tests were done in two different environments: A 3D simulated environment and a real outdoor environment. Both modes worked successfully on a simulated 3D environment, and \u201cBrake\u201d mode on a real outdoor, proving its concepts.\n                    <\/jats:p>","DOI":"10.5194\/isprs-archives-xlii-2-w6-303-2017","type":"journal-article","created":{"date-parts":[[2017,8,31]],"date-time":"2017-08-31T12:15:34Z","timestamp":1504181734000},"page":"303-309","source":"Crossref","is-referenced-by-count":2,"title":["USING DISTANCE SENSORS TO PERFORM COLLISION AVOIDANCE MANEUVRES ON UAV APPLICATIONS"],"prefix":"10.5194","volume":"XLII-2\/W6","author":[{"given":"A.","family":"Raimundo","sequence":"first","affiliation":[]},{"given":"D.","family":"Peres","sequence":"additional","affiliation":[]},{"given":"N.","family":"Santos","sequence":"additional","affiliation":[]},{"given":"P.","family":"Sebasti\u00e3o","sequence":"additional","affiliation":[]},{"given":"N.","family":"Souto","sequence":"additional","affiliation":[]}],"member":"3145","published-online":{"date-parts":[[2017,8,24]]},"container-title":["The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/isprs-archives.copernicus.org\/articles\/XLII-2-W6\/303\/2017\/isprs-archives-XLII-2-W6-303-2017.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,3]],"date-time":"2023-04-03T06:44:12Z","timestamp":1680504252000},"score":1,"resource":{"primary":{"URL":"https:\/\/isprs-archives.copernicus.org\/articles\/XLII-2-W6\/303\/2017\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,24]]},"references-count":0,"URL":"https:\/\/doi.org\/10.5194\/isprs-archives-xlii-2-w6-303-2017","relation":{},"ISSN":["2194-9034"],"issn-type":[{"value":"2194-9034","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,8,24]]}}}