3 papers
cs.RO2025
Uni-Gaussians: Unifying Camera and Lidar Simulation with Gaussians for Dynamic Driving Scenarios
Zikang Yuan, Yuechuan Pu, Hongcheng Luo +7
Ensuring the safety of autonomous vehicles necessitates comprehensive simulation of multi-sensor data, encompassing inputs from both cameras and LiDAR sensors, across various dynam…
cs.RO2025
Direct Sparse Odometry with Continuous 3D Gaussian Maps for Indoor Environments
Jie Deng, Fengtian Lang, Zikang Yuan +1
Accurate localization is essential for robotics and augmented reality applications such as autonomous navigation. Vision-based methods combining prior maps aim to integrate LiDAR-l…
cs.CV2024
IFTD: Image Feature Triangle Descriptor for Loop Detection in Driving Scenes
Fengtian Lang, Ruiye Ming, Zikang Yuan +1
In this work, we propose a fast and robust Image Feature Triangle Descriptor (IFTD) based on the STD method, aimed at improving the efficiency and accuracy of place recognition in…