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- W4383825435 abstract "With the development of the automotive industry and the advancement of artificial intelligence technology, the human vision of driverless cars is gradually becoming a reality. However, the current level of self-driving technology is immature, and the self-driving car must be able to handle emergency situations when it leaves the laboratory and enters the bus. The main purpose of this paper is to study the design and implementation of the automatic braking system of automobiles based on the multi-objective capture algorithm. Aiming at the typical dangerous situation of high-speed collision avoidance, this paper proposes a design scheme of a collision avoidance system for autonomous vehicles and studies its important basic theories and key technical issues involved in motion control and decision-making. The experiment found that in the case of emergency braking, 95% of drivers can achieve an average braking efficiency of 0.49 g, and the maximum reduction can reach 0.87 g. The average deceleration of the driver is 0.32 g, and the maximum deceleration is 0.63 g. The results show that it is often difficult for the driver to fully utilize the braking force of the vehicle." @default.
- W4383825435 created "2023-07-11" @default.
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- W4383825435 date "2023-01-01" @default.
- W4383825435 modified "2023-10-17" @default.
- W4383825435 title "Vehicle Automatic Braking System Based on Multi-target Acquisition Algorithm" @default.
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- W4383825435 doi "https://doi.org/10.1007/978-981-99-2921-4_73" @default.
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