DPPFA−Net Enhances 3D Object Detection for Autonomous Systems

Synopsis:Ritsumeikan University researchers introduce DPPFA−Net, a groundbreaking 3D object detection network melding LiDAR and image data to improve accuracy f

Related Keywords

,Hiroyuki Tomiyama ,Ritsumeikan University ,Professor Hiroyuki Tomiyama ,Memory Based Point Pixel Fusion ,Deformable Point Pixel Fusion ,Semantic Alignment Evaluator ,