5 papers
Native-Domain Cross-Attention for Camera-LiDAR Extrinsic Calibration Under Large Initial Perturbations
Ni Ou, Zhuo Chen, Xinru Zhang +1
Accurate camera-LiDAR fusion relies on precise extrinsic calibration, which fundamentally depends on establishing reliable cross-modal correspondences under potentially large misal…
Training Tactile Sensors to Learn Force Sensing from Each Other
Zhuo Chen, Ni Ou, Xuyang Zhang +8
Humans achieve stable and dexterous object manipulation by coordinating grasp forces across multiple fingers and palms, facilitated by a unified tactile memory system in the somato…
Iterative Camera-LiDAR Extrinsic Optimization via Surrogate Diffusion
Ni Ou, Zhuo Chen, Xinru Zhang +1
Cameras and LiDAR are essential sensors for autonomous vehicles. The fusion of camera and LiDAR data addresses the limitations of individual sensors but relies on precise extrinsic…
Iterative Camera-LiDAR Extrinsic Optimization via Surrogate Diffusion
Ni Ou, Zhuo Chen, Xinru Zhang +1
Cameras and LiDAR are essential sensors for autonomous vehicles. Camera-LiDAR data fusion compensate for deficiencies of stand-alone sensors but relies on precise extrinsic calibra…
TransForce: Transferable Force Prediction for Vision-based Tactile Sensors with Sequential Image Translation
Zhuo Chen, Ni Ou, Xuyang Zhang +1
Vision-based tactile sensors (VBTSs) provide high-resolution tactile images crucial for robot in-hand manipulation. However, force sensing in VBTSs is underutilized due to the cost…