3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.CV2020★ 3 cited
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…
cs.CV2020
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…