A Unified Multiple-Target Positioning Framework for Intelligent Connected Vehicles
Future intelligent transport systems depend on the accurate positioning of multiple targets in the road scene, including vehicles and all other moving or static elements. The existing self-positioning capability of individual vehicles remains insufficient. Also, bottlenecks in developing on-board pe...
Main Authors: | Zhongyang Xiao, Diange Yang, Fuxi Wen, Kun Jiang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-04-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/9/1967 |
Similar Items
-
A Highly Accurate Positioning Solution for C-V2X Systems
by: Qi Liu, et al.
Published: (2021-02-01) -
Scenario-Based Emergency Material Scheduling Using V2X Communications
by: Hui Hu, et al.
Published: (2019-06-01) -
Sustainable Adoption of Connected Vehicles in the Brazilian Landscape: Policies, Technical Specifications and Challenges
by: Douglas Aguiar do Nascimento, et al.
Published: (2019-03-01) -
Artificial Intelligence-based Cybersecurity for Connected and Automated Vehicles
Published: (2022) -
A Blockchain Framework for Securing Connected and Autonomous Vehicles
by: Geetanjali Rathee, et al.
Published: (2019-07-01)