2 papers
cs.CV2025
RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation
Xingrui Qin, Wentao Zhao, Chuan Cao +5
Dense depth estimation using millimeter-wave radar typically requires dense LiDAR supervision, generated via multi-frame projection and interpolation, for guiding the learning of a…
cs.CV2025
UNO: Unified Self-Supervised Monocular Odometry for Platform-Agnostic Deployment
Wentao Zhao, Yihe Niu, Yanbo Wang +5
This work presents UNO, a unified monocular visual odometry framework that enables robust and adaptable pose estimation across diverse environments, platforms, and motion patterns.…