Construction of Intelligent Recognition System of Automobile State Based on Digital Image Processing
Construction of Intelligent Recognition System of Automobile State Based on Digital Image Processing
- New search for: Zhang, Danyi
- New search for: Kountchev, Roumen
- New search for: Patnaik, Srikanta
- New search for: Nakamatsu, Kazumi
- New search for: Kountcheva, Roumiana
- New search for: Zhang, Danyi
Intelligent driving can collect environmental information through on-board sensors and actively control the driving operation of vehicles to replace drivers. In order to improve driving safety and promote the construction of Intelligent Transportation System (ITS), this article improves the traditional Deep Learning (DL) method and puts forward an intelligent recognition model of automobile state based on digital image processing to assist the path tracking control of intelligent vehicles. The experimental results show that this algorithm has a good effect on intelligent recognition of automobile state and has a certain resistance to target occlusion. Compared with the contrast algorithm, the accuracy of the proposed model for intelligent identification of automobile state is improved by 27.11%, and the error is reduced by 38.75%, so that the driving state of the vehicle in front of the automobile can be located more accurately. Therefore, the image processing algorithm designed in this article can accurately track the target in the visual image of smart car, and has good robustness and real-time performance.
Document information
Construction of Intelligent Recognition System of Automobile State Based on Digital Image Processing
Smart Innovation, Systems and Technologies
International Conference on Artificial Intelligence and Communication Technology ; 2023 ; Shenzhen, China June 09, 2023 - June 11, 2023
Proceedings of International Conference on Artificial Intelligence and Communication Technologies (ICAICT 2023) ; Chapter : 9 ; 97-106
2023-11-14
10 pages
Article/Chapter (Book)
Electronic Resource
English
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