首页|Tianjin Chengjian University Details Findings in Robotics (Indoor Mobile Robot L ocalization Applying Imu/stereo Camera/lidar and Graph-based Optimization)
Tianjin Chengjian University Details Findings in Robotics (Indoor Mobile Robot L ocalization Applying Imu/stereo Camera/lidar and Graph-based Optimization)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s. According to news originating from Tianjin,People’s Republic of China, by Ne wsRx correspondents, research stated, “The navigation and positioningsystem of mobile robots using multisensor fusion has become a research hotspot in the aspe cts of highaccuracy, low computational complexity, and strong stability. In ord er to improve the accuracy of sensorasynchronous information fusion and meet th e application requirements of geometric structure featuredegradation in warehou sing logistics, an adaptive weighted factor graph (AWFG) positioning method using inertial measurement unit (IMU), LiDAR, and stereo camera is proposed.”
TianjinPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningRobotRoboticsTianjin Chengjian U niversity
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