Rcbi-centernet: an absolute pose policy for 3d object detection in autonomous driving

HIGHLIGHTS

  • who: Kang An and collaborators from the School of Engineering, Penn State Erie, The Behrend College, Erie, PA, USAWe conducted extensive experiments on the Peking University/Baidu-Autonomous Driving dataset have published the research work: RCBi-CenterNet: An Absolute Pose Policy for 3D Object Detection in Autonomous Driving, in the Journal: (JOURNAL)
  • what: The authors propose a center point-based deep neural network (DNN) architecture named RCBi-CenterNet that predicts the absolute pose for each detected object in the 3D world space. The work has the potential to be extended to work in a camera . . .

     

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