首页|New Robotics and Automation Study Findings Reported from Fudan University (Cente rcoop: Center-based Feature Aggregation for Communication-efficient Vehicle-infr astructure Cooperative 3d Object Detection)
New Robotics and Automation Study Findings Reported from Fudan University (Cente rcoop: Center-based Feature Aggregation for Communication-efficient Vehicle-infr astructure Cooperative 3d Object Detection)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics - Ro botics and Automation have been published.According to news reporting out of Sh anghai, People’s Republic of China, by NewsRx editors, researchstated, “Vehicle -Infrastructure Cooperative (VIC) 3D object detection is a challenging task for balancingcommunication bandwidth and detection performance. Intermediate fusion is recently studied to reach abetter balance by transferring feature maps.”
ShanghaiPeople’s Republic of ChinaAsiaRobotics and AutomationRoboticsFudan University
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