4 papers · 1 filter
Efficient Active Training for Deep LiDAR Odometry
Beibei Zhou, Zhiyuan Zhang, Zhenbo Song +2
Robust and efficient deep LiDAR odometry models are crucial for accurate localization and 3D reconstruction, but typically require extensive and diverse training data to adapt to d…
Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions
Beibei Zhou, Zhiyuan Zhang, Zhenbo Song +2
Deep learning-based LiDAR odometry is crucial for autonomous driving and robotic navigation, yet its performance under adverse weather, especially snowfall, remains challenging. Ex…
Super LiDAR Intensity for Robotic Perception
Wei Gao, Jie Zhang, Mingle Zhao +6
Conventionally, human intuition defines vision as a modality of passive optical sensing, relying on ambient light to perceive the environment. However, active optical sensing, whic…
Learning Orientation Field for OSM-Guided Autonomous Navigation
Yuming Huang, Wei Gao, Zhiyuan Zhang +4
OpenStreetMap (OSM) has gained popularity recently in autonomous navigation due to its public accessibility, lower maintenance costs, and broader geographical coverage. However, ex…