首页|Data on Robotics and Automation Described by Researchers at Tsinghua University (Aerialvl: a Dataset, Baseline and Algorithm Framework for Aerial-based Visual L ocalization With Reference Map)
Data on Robotics and Automation Described by Researchers at Tsinghua University (Aerialvl: a Dataset, Baseline and Algorithm Framework for Aerial-based Visual L ocalization With Reference Map)
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2024 OCT 09 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators publish new report on Robotics - Ro botics and Automation. According to news originating from Beijing, People's Repu blic of China, by NewsRx correspondents, research stated, "Visual localization p lays an essential role in the autonomous flight of Unmanned Aerial Vehicles (UAV s) especially for the Global Navigation Satellite System (GNSS) denied environme nts. Existing aerial-based visual localization methods mainly focus on eliminati ng image variance between database map and captured frames." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Key R&D Program of China.
BeijingPeople's Republic of ChinaAsi aRobotics and AutomationRoboticsAlgorithmsTsinghua University
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