Multisensor Fusion for Vehicle-to-Vehicle Cooperative Localization With Object Detection and Point Cloud Matching-Reference-Cited by-同舟云学术

Multisensor Fusion for Vehicle-to-Vehicle Cooperative Localization With Object Detection and Point Cloud Matching

Published:2024-04-01 Issue:7 Volume:24 Page:10865-10877
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Gao Letian¹^ORCID,Xiang Hao¹^ORCID,Xia Xin¹^ORCID,Ma Jiaqi¹

Affiliation:

1. Department of Civil and Environmental Engineering, UCLA Mobility Lab, UCLA, Los Angeles, CA, USA

Funder

Federal Highway Administration Center of Excellence on New Mobility and Automated Vehicle Program

Cooperative Perception and Control for Freeway Traffic System Operations by Federal Highway Administration Exploratory Advanced Research (EAR) Program

RIMI: Infrastructure-Assisted Automation by California Statewide Transportation Research Program (SB 1) Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10487994/10440012.pdf?arnumber=10440012

Reference46 articles.

1. Empirical Analysis of a Freeway Bundled Connected-and-Automated Vehicle Application Using Experimental Data

2. Predictive Equivalent Consumption Minimization Strategy With Segmented Traffic Information

3. A proof-of-concept field experiment on cooperative lane change maneuvers using a prototype connected automated vehicle testing platform

4. Discrete Mixed-Integer Shooting (DMIS): Algorithm and Application to Plug-In Hybrid Electric Vehicle Energy Management Accounting for Fuel Cranking and Actual Powertrain Efficiency Maps

5. An automated driving systems data acquisition and analytics platform

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1. End-to-end Cooperative Localization via Neural Feature Sharing;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

2. Cooperative Localization in Transportation 5.0;IEEE Transactions on Intelligent Vehicles;2024-03