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- Title
SIMULATION OF INTELLIGENT DRIVING SYSTEM BASED ON COMPUTER VISION AND GMM ALGORITHM OPTIMIZATION.
- Authors
Zuo Haichun
- Abstract
In the future, intelligent travel tools not only require fast driving speed, but also need to ensure higher intelligence and safety. In this paper, the concept of robot vision is applied to the research of intelligent vehicles, so that the vehicles can realize automatic driving on high-grade highways. This paper analyzes the intelligent driving system based on computer vision and GMM algorithm optimization. In the process of resampling, the idea of firefly algorithm is used to move low weight particles to high likelihood value, which solves the problem of particle degradation and loss of particle diversity. According to the visual recognition system added to the vehicle, the car can realize the intelligent control of automatic driving and cruise with the change of lane line, and improve the safety and comfort of driving. The simulation is carried out under the condition of low cost. The simulation results show that the model has high accuracy and can be further extended.
- Subjects
COMPUTER vision; MATHEMATICAL optimization; COMPUTER systems; INTELLIGENT control systems; ROBOT vision; ROBOTICS; MOTOR vehicle driving
- Publication
Academic Journal of Manufacturing Engineering, 2020, Vol 18, Issue 3, p201
- ISSN
1583-7904
- Publication type
Article