Low-Cost Hybrid Multisensor Fusion Method and Implementation for Production Intelligent Vehicles-Reference-Cited by-同舟云学术

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Low-Cost Hybrid Multisensor Fusion Method and Implementation for Production Intelligent Vehicles

Published:2022 Issue: Volume:71 Page:1-16
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Cai Kunyang¹^ORCID,Qu Ting¹^ORCID,Chen Hong²^ORCID,Gao Bingzhao³^ORCID,Bian Ning⁴^ORCID

Affiliation:

1. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China

2. College of Electronics and Information Engineering, Tongji University, Shanghai, China

3. Clean Energy Automotive Engineering Center, Tongji University, Shanghai, China

4. Dongfeng Motor Corporation, Wuhan, China

Funder

National Key R&D Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9717300/09863847.pdf?arnumber=9863847

Reference24 articles.

1. Object Detection Based on Fusion of Sparse Point Cloud and Image Information

2. Object Classification Based on Enhanced Evidence Theory: Radar–Vision Fusion Approach for Roadside Application

3. Multi-Sensor Fusion for Obstacle Detection and Recognition: A Belief-Based Approach

4. Track-to-Track Fusion With Asynchronous Sensors Using Information Matrix Fusion for Surround Environment Perception

5. Multi-target multi-object tracking, sensor fusion of radar and infrared

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TL-4DRCF: A Two-Level 4-D Radar–Camera Fusion Method for Object Detection in Adverse Weather;IEEE Sensors Journal;2024-05-15

2. Robust Object Tracking Against Sensor Failures With Centralized IMM Filter;IEEE Access;2024

3. 4D Radar-Camera Sensor Fusion for Robust Vehicle Pose Estimation in Foggy Environments;IEEE Access;2024

4. Consensus-Based Distributed Cooperative Perception for Connected and Automated Vehicles;IEEE Transactions on Intelligent Transportation Systems;2023-08

5. Analysis of Inertial Measurement Units Performances Under Dynamic Conditions;IEEE Transactions on Instrumentation and Measurement;2023

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