Home /Research /End-to-end stereo matching network with two-stage partition filtering for full-resolution depth estimation and precise localization of kiwifruit for robotic harvesting

PERCEPTION

End-to-end stereo matching network with two-stage partition filtering for full-resolution depth estimation and precise localization of kiwifruit for robotic harvesting

Xudong Jing, Hanhui Jiang, Shiao Niu, Haosen Zhang, Bryan Gilbert Murengami, Zhenchao Wu, Rui Li, Chengquan Zhou, Hongbao Ye, Jinyong Chen, Yaqoob Majeed, Longsheng Fu

Year: 2024
Citations: 10

Keywords

Partition (number theory)Artificial intelligenceMatching (statistics)Computer visionComputer scienceStage (stratigraphy)End-to-end principleMathematicsGeologyStatistics

End-to-end stereo matching network with two-stage partition filtering for full-resolution depth estimation and precise localization of kiwifruit for robotic harvesting

Keywords

Related papers

Statistical Learning Theory

Artificial intelligence: a modern approach

Fractional Differential Equations

Applied Nonlinear Control