首页|Findings from Chinese Academy of Sciences Provides New Data on Robotics and Auto mation (Cmgfa: a Bev Segmentation Model Based On Cross-modal Group-mix Attention Feature Aggregator)
Findings from Chinese Academy of Sciences Provides New Data on Robotics and Auto mation (Cmgfa: a Bev Segmentation Model Based On Cross-modal Group-mix Attention Feature Aggregator)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ro botics - Robotics and Automation. Accordingto news originating from Hefei, Peop le’s Republic of China, by NewsRx correspondents, researchstated, “Bird’s eye v iew (BEV) segmentation map is a recent development in autonomous driving that provides effective environmental information, such as drivable areas and lane divi ders. Most of the existingmethods use cameras and LiDAR as inputs for segmentat ion and the fusion of different modalities is accomplishedthrough either concat enation or addition operations, which fails to exploit fully the correlationand complementarity between modalities.”
HefeiPeople’s Republic of ChinaAsiaRobotics and AutomationRoboticsChinese Academy of Sciences
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