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

Authors

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.

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Published

2022-01-27

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