Sensor and Sensor Fusion Technology in Autonomous Vehicles: A Review
With the significant advancement of sensor and communication technology and the reliable application of obstacle detection techniques and algorithms, automated driving is becoming a pivotal technology that can revolutionize the future of transportation and mobility. Sensors are fundamental to the pe...
Main Authors: | De Jong Yeong, Gustavo Velasco-Hernandez, John Barry, Joseph Walsh |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/6/2140 |
Similar Items
-
An Overview of Autonomous Vehicles Sensors and Their Vulnerability to Weather Conditions
by: Jorge Vargas, et al.
Published: (2021-08-01) -
Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review
by: Jamil Fayyad, et al.
Published: (2020-07-01) -
Development of an Energy Efficient and Cost Effective Autonomous Vehicle Research Platform
by: Nicholas E. Brown, et al.
Published: (2022-08-01) -
Robust LiDAR-Based Vehicle Detection for On-Road Autonomous Driving
by: Xianjian Jin, et al.
Published: (2023-06-01) -
Radars for Autonomous Driving: A Review of Deep Learning Methods and Challenges
by: Arvind Srivastav, et al.
Published: (2023-01-01)