首页|Reports on Field Robotics from Shaoxing University Provide New Insights (Develop ing an Expansion-based Obstacle Detection Using Panoptic Segmentation)
Reports on Field Robotics from Shaoxing University Provide New Insights (Develop ing an Expansion-based Obstacle Detection Using Panoptic Segmentation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics - Fi eld Robotics have been published. Accordingto news reporting out of Zhejiang, P eople’s Republic of China, by NewsRx editors, research stated,“Safe Micro Aeria l Vehicle (MAV) navigation requires detecting and avoiding obstacles. For safe M AVnavigation, expansion-based algorithms are effective for detecting obstacles. ”Funders for this research include Shaoxing Institute of Artificial Intelligence, China, K.N. Toosi Universityof Technology.
ZhejiangPeople’s Republic of ChinaAs iaField RoboticsRoboticsShaoxing University
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