A Review of Environmental Perception Technology Based on Multi-Sensor Information Fusion in Autonomous Driving
Environmental perception is a key technology for autonomous driving, enabling vehicles to analyze and interpret their surroundings in real time to ensure safe navigation and decision-making. Multi-sensor information fusion, which integrates data from different sensors, has become an important approa...
Saved in:
Main Authors: | Boquan Yang, Jixiong Li, Ting Zeng |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | World Electric Vehicle Journal |
Subjects: | |
Online Access: | https://www.mdpi.com/2032-6653/16/1/20 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Cross-Modal Collaboration and Robust Feature Classifier for Open-Vocabulary 3D Object Detection
by: Hengsong Liu, et al.
Published: (2025-01-01) -
High-Performance Multi-Object Tracking for Autonomous Driving in Urban Scenarios With Heterogeneous Embedded Boards
by: Alessio Medaglini, et al.
Published: (2025-01-01) -
Analyzing the Influence of Online Test-Driving Reviews on the Adoption of Autonomous Vehicles
by: Chuan Hui Liao, et al.
Published: (2025-01-01) -
Research on heterogeneous data fusion and arithmetic optimization in multi-sensor systems
by: DING Kai, et al.
Published: (2024-12-01) -
A survey of autonomous robots and multi-robot navigation: Perception, planning and collaboration
by: Weinan Chen, et al.
Published: (2025-06-01)