首页|Study Results from Tsinghua University Update Understanding of Robotics and Auto mation (Instancevo: Self-supervised Semantic Visual Odometry By Using Metric Lea rning To Incorporate Geometrical Priors In Instance Objects)
Study Results from Tsinghua University Update Understanding of Robotics and Auto mation (Instancevo: Self-supervised Semantic Visual Odometry By Using Metric Lea rning To Incorporate Geometrical Priors In Instance Objects)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Robotics - Robotics a nd Automation have been presented. Accordingto news reporting out of Beijing, P eople’s Republic of China, by NewsRx editors, research stated, “Visualodometry is one of the key technologies for unmanned ground vehicles. To improve the robu stness of thesystems and enable intelligent tasks, researchers introduced learn ing-based recognition modules into visualodometry systems, but didn’t realize t ight coupling between visual odometry systems and recognitionmodules.”
BeijingPeople’s Republic of ChinaAsi aRobotics and AutomationRoboticsTsinghua University
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