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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 tomiyamaCollege of sciencePixel feature alignment networkRitsumeikan universityRitsumeikan university researchKyushu universityProfessor hiroyuki tomiyamaPoint pixel feature alignmentThings journalMemory based point pixel fusionDeformable point pixel fusionSemantic alignment evaluatorDynamic point pixel feature alignmentUniversity research reportProject number

Boosting Solid-State Phosphorescence in π-Electronic Molecules

Boosting Solid-State Phosphorescence in π-Electronic Molecules
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Hiromitsu maedaDepartment of applied chemistryRitsumeikan global innovation research organizationRitsumeikan universityCollege of life sciencesScientific researchRitsumeikan university researchTransformative research areasa condensed conjugationKyoto universityProfessor hiromitsu maedaChemical scienceUniversity research reportApplied chemistryLife sciencesChemcomm emerging investigator lectureshipTransformative research areas

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 tomiyamaPixel feature alignment networkRitsumeikan universityRitsumeikan university researchTowards more accurateObject detectionProfessor hiroyuki tomiyamaPoint pixel feature alignmentThings journalMemory based point pixel fusionDeformable point pixel fusionSemantic alignment evaluatorDynamic point pixel feature alignmentUniversity research report

Advancements in 3D Object Detection for Robots, Self-Driving Cars

Advancements in 3D Object Detection for Robots, Self-Driving Cars
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Hiroyuki tomiyamaKyushu universityRitsumeikan universityRitsumeikan university researchPixel feature alignment networkCollege of scienceProfessor hiroyuki tomiyamaPoint pixel feature alignmentThings journalMemory based point pixel fusionDeformable point pixel fusionSemantic alignment evaluatorUniversity research reportProject number