
A novel global optimization approach to accurately colorize LiDAR point clouds by jointly optimizing the poses of 360-degree camera frames to maximize photometric consistency.


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omnicolor-a-global-optimization-approach-for-accurate-colorization-of-lidar-point-clouds-using-360-degree-cameras


OmniColor: A Global Optimization Approach for Accurate Colorization of LiDAR Point Clouds using 360-degree Cameras


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The core message of this paper is to propose a novel Tightly Coupled LiDAR-Camera Gaussian Splatting (TCLC-GS) framework that synergizes the strengths of LiDAR and surrounding cameras to achieve fast 3D modeling and real-time RGB/depth rendering in urban driving scenarios.


tightly-coupled-lidar-camera-gaussian-splatting-for-rapid-high-quality-3d-reconstruction-and-novel-view-synthesis-in-autonomous-driving-scenes


Tightly Coupled LiDAR-Camera Gaussian Splatting for Rapid, High-Quality 3D Reconstruction and Novel View Synthesis in Autonomous Driving Scenes
