L-Shape model based vehicle tracking with joint kinematic and geometric estimation using Lidar-Reference-Cited by-同舟云学术

L-Shape model based vehicle tracking with joint kinematic and geometric estimation using Lidar

Published:2023 Issue: Volume: Page:1-10
ISSN:0018-9251
Container-title:IEEE Transactions on Aerospace and Electronic Systems
language:
Short-container-title:IEEE Trans. Aerosp. Electron. Syst.

Author:

Song Dan¹^ORCID,Tharmarasa Ratnasingham²^ORCID,Zhao Weihu¹,Li Guopeng¹^ORCID,Lee Richard³,Kirubarajan Thiagalingam²^ORCID

Affiliation:

1. College of Information and Communication, National University of Defense Technology, Wuhan, China

2. Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada

3. General Dynamics Land Systems Canada, London, ON, Canada

Funder

National Science Foundation for Young Scientists of China

Natural Science Basic Research Plan in Shaanxi Province of China

Research Foundation of National University of Defense University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Aerospace Engineering

Link

http://xplorestaging.ieee.org/ielx7/7/7778228/10107663.pdf?arnumber=10107663

Reference31 articles.

1. Improving lidar data evaluation for object detection and tracking using a priori knowledge and sensor fusion;wittmann;Proc IEEE 11th Int Conf Informat Control Automat and Robot,0

2. Moving object classification using horizontal laser scan data

3. Efficient L-shape fitting of laser scanner data for vehicle pose estimation

4. Model-Based Detection and Tracking of Single Moving Object Using Laser Range Finder

5. 3D Multi-Object Tracking in Point Clouds Based on Prediction Confidence-Guided Data Association

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