Publications (4)
Laser Data Based Automatic Generation of Lane-Level Road Map for Intelligent Vehicles
Zehai Yu, Hui Zhu, Linglong Lin +3
With the development of intelligent vehicle systems, a high-precision road map is increasingly needed in many aspects. The automatic lane lines extraction and modeling are the most…
A Fast Point Cloud Ground Segmentation Approach Based on Coarse-To-Fine Markov Random Field
Weixin Huang, Huawei Liang, Linglong Lin +4
Ground segmentation is an important preprocessing task for autonomous vehicles (AVs) with 3D LiDARs. To solve the problem of existing ground segmentation methods being very difficu…
FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural Networks
Ruochen Yin, Biao Yu, Huapeng Wu +2
It is a crucial step to achieve effective semantic segmentation of lane marking during the construction of the lane level high-precision map. In recent years, many image semantic s…
FGO-SLAM: Enhancing Gaussian SLAM with Globally Consistent Opacity Radiance Field
Fan Zhu, Yifan Zhao, Ziyu Chen +2
Visual SLAM has regained attention due to its ability to provide perceptual capabilities and simulation test data for Embodied AI. However, traditional SLAM methods struggle to mee…