Enhancing Solid State LiDAR Mapping with a 2D Spinning LiDAR in Urban Scenario SLAM on Ground Vehicles
Solid-State LiDAR (SSL) takes an increasing share of the LiDAR market. Compared with traditional spinning LiDAR, SSLs are more compact, energy-efficient and cost-effective. Generally, the current study of SSL mapping is limited to adapting existing SLAM algorithms to an SSL sensor. However, compared...
Main Authors: | Weichen Wei, Bijan Shirinzadeh, Rohan Nowell, Mohammadali Ghafarian, Mohamed M. A. Ammar, Tianyao Shen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/5/1773 |
Similar Items
-
LiDAR Point Cloud Generation for SLAM Algorithm Evaluation
by: Łukasz Sobczak, et al.
Published: (2021-05-01) -
A Review of Visual-LiDAR Fusion based Simultaneous Localization and Mapping
by: César Debeunne, et al.
Published: (2020-04-01) -
Large-Scale LiDAR SLAM with Factor Graph Optimization on High-Level Geometric Features
by: Krzysztof Ćwian, et al.
Published: (2021-05-01) -
GNSS/INS/LiDAR-SLAM Integrated Navigation System Based on Graph Optimization
by: Le Chang, et al.
Published: (2019-04-01) -
The Identification and Compensation of Static Drift Induced by External Disturbances for LiDAR SLAM
by: Da Li, et al.
Published: (2021-01-01)