3 papers
cs.RO2026
Hi-LOAM: Hierarchical Implicit Neural Fields for LiDAR Odometry and Mapping
Zhiliu Yang, Jianyuan Zhang, Lianhui Zhao +2
LiDAR Odometry and Mapping (LOAM) is a pivotal technique for embodied-AI applications such as autonomous driving and robot navigation. Most existing LOAM frameworks are either cont…
cs.CV2025
SPORTS: Simultaneous Panoptic Odometry, Rendering, Tracking and Segmentation for Urban Scenes Understanding
Zhiliu Yang, Jinyu Dai, Jianyuan Zhang +1
The scene perception, understanding, and simulation are fundamental techniques for embodied-AI agents, while existing solutions are still prone to segmentation deficiency, dynamic…
cs.CV2023
LISNeRF Mapping: LiDAR-based Implicit Mapping via Semantic Neural Fields for Large-Scale 3D Scenes
Jianyuan Zhang, Zhiliu Yang, Meng Zhang
Large-scale semantic mapping is crucial for outdoor autonomous agents to fulfill high-level tasks such as planning and navigation. This paper proposes a novel method for large-scal…