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Towards More Accurate 3D Object Detection for Robots and Self-Driving Cars

Towards More Accurate 3D Object Detection for Robots and Self-Driving Cars
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Hiroyuki Tomiyama , College Of Science , Pixel Feature Alignment Network , Ritsumeikan University , Ritsumeikan University Research , Kyushu University , Professor Hiroyuki Tomiyama , Point Pixel Feature Alignment , Things Journal , Memory Based Point Pixel Fusion , Deformable Point Pixel Fusion , Semantic Alignment Evaluator , Dynamic Point Pixel Feature Alignment , University Research Report , Project Number ,

Network combines 3D LiDAR and 2D image data to enable more robust detection of small objects

Network combines 3D LiDAR and 2D image data to enable more robust detection of small objects
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Hiroyuki Tomiyama , Juncheng Wang , Ritsumeikan University , Pixel Feature Alignment Network , Professor Hiroyuki Tomiyama , Point Pixel Feature Alignment , Memory Based Point Pixel Fusion , Deformable Point Pixel Fusion , Semantic Alignment Evaluator , Dynamic Point Pixel Feature Alignment , Object Detection , Things Journal ,

Towards More Accurate 3D Object Detection for Robots and Self-Driving Cars

Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to accurately detect small objects. Now, researchers from Japan have developed DPPFA−Net, an innovative network that overcomes challenges related to occlusion and noise introduced by… ....

Hiroyuki Tomiyama , Pixel Feature Alignment Network , Ritsumeikan University , Ritsumeikan University Research , Towards More Accurate , Object Detection , Professor Hiroyuki Tomiyama , Point Pixel Feature Alignment , Things Journal , Memory Based Point Pixel Fusion , Deformable Point Pixel Fusion , Semantic Alignment Evaluator , Dynamic Point Pixel Feature Alignment , University Research Report ,

Researchers claim improved small object detection with multi-modal 3D network

Despite the growing demand for autonomous vehicles and robotic automation solutions, object detection remains a complex task within AI workload. ....

Hiroyuki Tomiyama , Ritsumeikan University , Dynamic Point Pixel Feature Alignment , Professor Hiroyuki Tomiyama ,