computer-vision-1
lidar absolute pose regression
3260 papers • 126 benchmarks • 313 datasets
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Oxford Radar RobotCar (Full-6)
Oxford Radar RobotCar (Full-6)
Oxford Radar RobotCar (Full-7)
Oxford Radar RobotCar (Full-7)
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Most implemented papers
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion
Wei Wang, Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, K. Zhao, Yang Song•Sun Apr 02 2023
This work proposes HypLiLoc, a new model for LiDAR pose regression that uses two branched back-bones to extract 3D features and 2D projection features, and considers multi-modal feature fusion in both Euclidean and hyperbolic spaces to obtain more effective feature representations.
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