3 papers
cs.RO2026
LXD-SLAM: LiDAR+X Dense SLAM with Configurable Sensor Combinations
Zhong Wang, Lin Zhang, Linfei Li +4
Simultaneous Localization and Mapping (SLAM) is essential for autonomous systems, yet achieving reliable, globally consistent pose estimation and dense mapping in complex environme…
cs.CV2026
GS3LAM: Gaussian Semantic Splatting SLAM
Linfei Li, Lin Zhang, Zhong Wang +1
Recently, the multi-modal fusion of RGB, depth, and semantics has shown great potential in dense Simultaneous Localization and Mapping (SLAM). However, a prerequisite for generatin…
cs.CV2025
Learning from Rendering: Realistic and Controllable Extreme Rainy Image Synthesis for Autonomous Driving Simulation
Kaibin Zhou, Kaifeng Huang, Hao Deng +4
Autonomous driving simulators provide an effective and low-cost alternative for evaluating or enhancing visual perception models. However, the reliability of evaluation depends on…