Automatic Vector-Based Road Structure Mapping Using Multibeam LiDAR
The high-definition map (HD-map) of road structures is crucial for the safe planning and control of autonomous vehicles. However, generating and updating such maps requires intensive manual work. Simultaneous localization and mapping (SLAM) is able to automatically build and update a map of the envi...
Main Authors: | Junqiao Zhao, Xudong He, Jun Li, Tiantian Feng, Chen Ye, Lu Xiong |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-07-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/11/14/1726 |
Similar Items
-
LiDAR Point Cloud Generation for SLAM Algorithm Evaluation
by: Łukasz Sobczak, et al.
Published: (2021-05-01) -
ZUST Campus: A Lightweight and Practical LiDAR SLAM Dataset for Autonomous Driving Scenarios
by: Yuhang He, et al.
Published: (2024-04-01) -
LiDAR Odometry and Mapping Based on Neighborhood Information Constraints for Rugged Terrain
by: Gang Wang, et al.
Published: (2022-10-01) -
A Novel Approach to Global Positioning System Accuracy Assessment, Verified on LiDAR Alignment of One Million Kilometers at a Continent Scale, as a Foundation for Autonomous DRIVING Safety Analysis
by: Janusz Bedkowski, et al.
Published: (2021-08-01) -
LiDAR-as-Camera for End-to-End Driving
by: Ardi Tampuu, et al.
Published: (2023-03-01)