Automobile anti-collision system and control method based on laser radar

Abstract

The invention discloses an automobile anti-collision system and control method based on a laser radar. The system comprises a laser radar detection unit, a signal processing circuit, and a hydraulic electromechanical braking device. The signal processing circuit comprises an analog circuit, a digital circuit part, and parameter adjustable software. The system can enable a driver to accurately avoid obstacles, is small in judgment error, is slow in distance measurement, and is high in intelligentization degree. The system carries out the processing of the relative tracks of the obstacles and an automobile in a nonlinear manner, thereby enabling the collision prediction to be more accurate, solving a problem of the contradiction between the dual control of the system and the driver, and guaranteeing the continuity and mobility.

Description

technical field [0001] The invention relates to a laser radar-based automobile anti-collision system and a control method. Background technique [0002] With the development of industry and the extensive use of automobiles, the probability of traffic accidents has increased. According to incomplete statistics, traffic accidents account for more than 50% of the total number of accidental deaths. The number of deaths due to traffic accidents in the world has exceeded 30 million. It is estimated that about 250,000 to 300,000 people die in traffic accidents every year in the world today. The incidence of car accidents in my country is the highest in the world, about 15%. Compared with foreign countries, it is 26.5 times that of Japan and 17.8 times that of the United States. Every year, about 60,000 people die in traffic accidents, and more than 200,000 people are injured in the accidents. The incidence and death rate of traffic accidents in my country rank first in the world. ...

AI Technical Summary

Problems solved by technology

[0003] At present, the ranging system for lidar on the market cannot accurately avoid obstacles, and the judgment error is relatively large. Secondly, the ranging time is slow and the degree of intelligence is low, which is often contrary to the judgment of the driver.

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