首页|New Robotic Systems Research Reported from Chinese Academy of Sciences (Environm ental-structure-perception-based adaptive pose fusion method for LiDAR-visual-in ertial odometry)

New Robotic Systems Research Reported from Chinese Academy of Sciences (Environm ental-structure-perception-based adaptive pose fusion method for LiDAR-visual-in ertial odometry)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on robotic systems are pres ented in a new report. According to news reporting from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “Light Detection and Rangin g (LiDAR)-visual-inertial odometry can provide accurate poses for the localizati on of unmanned vehicles working in unknown environments in the absence of Global Positioning System (GPS).”

Chinese Academy of SciencesBeijingPeople’s Republic of ChinaAsiaRobotic SystemsRobotics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.17)