A Dynamic Multitarget Obstacle Tracking and Monitoring Method for Vehicle Routing Based on Multiple Constraint Composite Perception Association Filtering-Reference-Cited by-同舟云学术

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A Dynamic Multitarget Obstacle Tracking and Monitoring Method for Vehicle Routing Based on Multiple Constraint Composite Perception Association Filtering

Published:2024 Issue: Volume:12 Page:115151-115170
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Han Guoxin¹^ORCID,Liu Fuyun¹^ORCID,Liu Huiqi¹,Deng Jucai²^ORCID,Bai Weihua³^ORCID,Li Keqin⁴^ORCID

Affiliation:

1. College of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin, China

2. Commercial Vehicle Technology Center, Dongfeng Liuzhou Automobile Company Ltd., Liuzhou, China

3. College of Computer Science and Software, Zhaoqing University, Zhaoqing, China

4. Department of Computer Science, State University of New York at New Paltz, New Paltz, NY, USA

Funder

Guangxi Key Research and Development Project, China,

Zhaoqing University Research Fund Project, China

Guangdong Provincial University Key Scientific Research Project, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10637386.pdf?arnumber=10637386

Reference37 articles.

1. Adaptive machine learning algorithm for human target detection in IoT environment

2. A Detachable and Expansible Multisensor Data Fusion Model for Perception in Level 3 Autonomous Driving System

3. A Local Environment Model Based on Multi-Sensor Perception for Intelligent Vehicles

4. Multi-Bernoulli Filter for Tracking Multiple Targets Using Sensor Array

5. Multisensor data fusion: A review of the state-of-the-art

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