Unifying Obstacle Detection, Recognition, and Fusion Based on the Polarization Color Stereo Camera and LiDAR for the ADAS
The perception module plays an important role in vehicles equipped with advanced driver-assistance systems (ADAS). This paper presents a multi-sensor data fusion system based on the polarization color stereo camera and the forward-looking light detection and ranging (LiDAR), which achieves the multi...
Main Authors: | Ningbo Long, Han Yan, Liqiang Wang, Haifeng Li, Qing Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-03-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/7/2453 |
Similar Items
-
Multipath-Closure Calibration of Stereo Camera and 3D LiDAR Combined with Multiple Constraints
by: Jianqiao Duan, et al.
Published: (2024-01-01) -
Improvements to Target-Based 3D LiDAR to Camera Calibration
by: Jiunn-Kai Huang, et al.
Published: (2020-01-01) -
Accurate Calibration of Multi-LiDAR-Multi-Camera Systems
by: Zoltán Pusztai, et al.
Published: (2018-07-01) -
Real-time depth completion based on LiDAR-stereo for autonomous driving
by: Ming Wei, et al.
Published: (2023-04-01) -
Calibration of Camera and Flash LiDAR System with a Triangular Pyramid Target
by: Zean Bu, et al.
Published: (2021-01-01)