首页|New Robotics and Automation Study Findings Recently Were Reported by Researchers at Beihang University (Cross Fusion of Point Cloud and Learned Image for Loop Closure Detection)
New Robotics and Automation Study Findings Recently Were Reported by Researchers at Beihang University (Cross Fusion of Point Cloud and Learned Image for Loop Closure Detection)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Robotic s - Robotics and Automation. According to news reporting originating in Beijing, People's Republic of China, by NewsRx journalists, research stated, “Loop closu re detection (LCD) plays a crucial role in simultaneous localization and mapping (SLAM) systems to eliminate accumulated odometry drifts as the map is built, an d using multi-modal information can improve the accuracy and robustness of this system compared to single sensor. However, traditional fusion methods often requ ire sophisticated space alignment of the sensors, which places high requirements on hardware equipment.”
BeijingPeople's Republic of ChinaAsiaRobotics and AutomationRoboticsBeihang University