21 citations · 36 across the 7 of their papers we have counts for
7 papers
RoMe: Towards Large Scale Road Surface Reconstruction via Mesh Representation
Ruohong Mei, Wei Sui, Jiaxin Zhang +4
In autonomous driving applications, accurate and efficient road surface reconstruction is paramount. This paper introduces RoMe, a novel framework designed for the robust reconstru…
VMA: Divide-and-Conquer Vectorized Map Annotation System for Large-Scale Driving Scene
Shaoyu Chen, Yunchi Zhang, Bencheng Liao +7
High-definition (HD) map serves as the essential infrastructure of autonomous driving. In this work, we build up a systematic vectorized map annotation framework (termed VMA) for e…
Towards Accurate Ground Plane Normal Estimation from Ego-Motion
Jiaxin Zhang, Wei Sui, Qian Zhang +2
In this paper, we introduce a novel approach for ground plane normal estimation of wheeled vehicles. In practice, the ground plane is dynamically changed due to braking and unstabl…
Road-aware Monocular Structure from Motion and Homography Estimation
Wei Sui, Teng Chen, Jiaxin Zhang +2
Structure from motion (SFM) and ground plane homography estimation are critical to autonomous driving and other robotics applications. Recently, much progress has been made in usin…
Monocular Road Planar Parallax Estimation
Haobo Yuan, Teng Chen, Wei Sui +4
Estimating the 3D structure of the drivable surface and surrounding environment is a crucial task for assisted and autonomous driving. It is commonly solved either by using 3D sens…
Deep Online Correction for Monocular Visual Odometry
Jiaxin Zhang, Wei Sui, Xinggang Wang +3
In this work, we propose a novel deep online correction (DOC) framework for monocular visual odometry. The whole pipeline has two stages: First, depth maps and initial poses are ob…