Research on Intelligent Vehicle Visual Recognition Trajectory Based on Improved Template Matching Tracking Algorithm-Reference-Cited by-同舟云学术

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Research on Intelligent Vehicle Visual Recognition Trajectory Based on Improved Template Matching Tracking Algorithm

Published:2024-05-30 Issue: Volume:40 Page:765-770
ISSN:
Container-title:2024 International Conference on Machine Intelligence and Digital Applications
language:
Short-container-title:

Author:

Wu Ling¹^ORCID

Affiliation:

1. School of Information and Engineering, East University of Heilongjiang, China

Funder

Research on Target Recognition Methods for Autonomous Driving in Open Environments (Heilongjiang Provincial Natural Science Foundation, 2023)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3662739.3666026

Reference17 articles.

1. Pecher P, Hunter M, Fujimoto R. Data-Driven Vehicle Trajectory Prediction. Proceedings of the 2016 ACM SIGSIM conference on principles of advanced discrete simulation, 2021, 40(2): 3185-3192.

2. Yuyan S, Limin S, Hongsong Z, Activity Anomaly Detection Based on Vehicle Trajectory of Automatic Number Plate Recognition System. Journal of Computer Research & Development, 2021, 40(2): 2709-2719.

3. Gao Y, Zhou C, Rong J, High-accurate vehicle trajectory extraction and denoising from roadside LIDAR sensors. Infrared physics and technology, 2023:134.

4. Vehicle Trajectory Completion for Automatic Number Plate Recognition Data: A Temporal Knowledge Graph-Based Method

5. Xue Q, Wang K, Lu J J, Rapid Driving Style Recognition in Car-Following Using Machine Learning and Vehicle Trajectory Data. Journal of advanced transportation, 2022(4): 30.

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