首页|Findings on Robotics and Automation Discussed by Investigators at Wuhan Universi ty (Dba-fusion: Tightly Integrating Deep Dense Visual Bundle Adjustment With Mul tiple Sensors for Large-scale Localization and Mapping)
Findings on Robotics and Automation Discussed by Investigators at Wuhan Universi ty (Dba-fusion: Tightly Integrating Deep Dense Visual Bundle Adjustment With Mul tiple Sensors for Large-scale Localization and Mapping)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics - Robotics a nd Automation have been presented. According to news reporting originating in Wu han, People’s Republic of China, by NewsRx journalists, research stated, “Visual simultaneous localization and mapping (VSLAM) has broad applications, with stat e-ofthe- art methods leveraging deep neural networks for better robustness and a pplicability. However, there is a lack of research in fusing these learning-base d methods with multi-sensor information, which could be indispensable to push re lated applications to large-scale and complex scenarios.” Financial support for this research came from National Key Research and Developm ent Program of China.
WuhanPeople’s Republic of ChinaAsiaRobotics and AutomationRoboticsWuhan University
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