Research on Vehicle Automatic Driving Target Perception Technology Based on Improved MSRPN Algorithm

Min Yang

doi:10.47852/bonviewJCCE20514

Research on Vehicle Automatic Driving Target Perception Technology Based on Improved MSRPN Algorithm

Authors

Min Yang College of Mechanical Engineering, Nanjing University of Science and Technology, China https://orcid.org/0000-0001-6854-9815

DOI:

https://doi.org/10.47852/bonviewJCCE20514

Keywords:

vehicles, automatic driving, MSRPN, target recognition, R-CNN

Abstract

Vehicle automatic driving technology can effectively improve the safety performance of vehicle driving. This research is aimed at the needs of vehicle automatic driving. Combined with vehicle perception technology, a better target recognition algorithm is proposed. By comparing the recognition and recall rate of ION algorithm, HYPERNET algorithm, R-CNN (Regions with CNN features) algorithm, and multi-strategy region proposal network (MSRPN) algorithm, it can be seen that MSPRN algorithm has better algorithm performance and is suitable for target detection and recognition in vehicle automatic driving.

Received: 5 November 2021 | Revised: 12 December 2021 | Accepted: 10 January 2022

Conflicts of Interest

The author declares that he has no conflicts of interest to this work.

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Published

2022-01-27

Issue

Vol. 1 No. 3 (2022)

Section

Research Articles

License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Yang, M. (2022). Research on Vehicle Automatic Driving Target Perception Technology Based on Improved MSRPN Algorithm. Journal of Computational and Cognitive Engineering, 1(3), 147-151. https://doi.org/10.47852/bonviewJCCE20514