首页|New Findings on Robotics and Automation from Wuhan University Summarized (I2d-lo c++: Camera Pose Tracking In Lidar Maps With Multi-view Motion Flows)
New Findings on Robotics and Automation from Wuhan University Summarized (I2d-lo c++: Camera Pose Tracking In Lidar Maps With Multi-view Motion Flows)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics - Robotics and Automation have been presented. According to news originating from Wuhan, People’s Republic of China, by NewsRx correspondents, research stated, “Camera localization in LiDAR maps has become increasingly popular due to its promising abil ity to handle complex scenarios, surpassing the limitations of visual-only local ization methods. However, existing approaches mostly focus on addressing the cross-modal 2D-3D gaps while overlooking the relationship between adjacent image frames, which results in fluctuations and unreliability of camera poses.”
WuhanPeople’s Republic of ChinaAsiaRobotics and AutomationRoboticsWuhan University
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