TY  - JOUR
T1  - Height and Texture Modeling of Road Surfaces for Camera-Based HDMap Construction
AU  - Won, Changhee 
AU  - Lim, Jongwoo 
JO  - Journal of KIISE, JOK
PY  - 2024
DA  - 2024/1/14
DO  - 10.5626/JOK.2024.51.9.835
KW  - HD Map
KW  - Multi-camera MMS
KW  - Road Surface Reconstruction
KW  - Texture Registration
KW  - Hexagonal Grid Modeling
AB  - With increasing demand for construction and updating of HD maps for autonomous vehicles, multi-camera systems are being used as cost-effective sensors for Mobile Mapping System (MMS). Stereo matching among multi-view images, image feature point matching, and visual localization are utilized for such camera-based 3D map reconstruction. In this paper, we proposed a methodology for estimating height of road surfaces and texture registration utilizing hexgrid model, keyframe poses and 3D point clouds based on multi-view images. The proposed methodology could reconstruct high-density and high-accuracy 3D point cloud of road surfaces base on a multi-camera system mounted on the upper part of a vehicle. Our experimental results showed that the proposed method created a precise road model with a minimum point spacing of 0.025 m on a MMS equipped with ultra-wide angle fisheye cameras and GPS.