Automobile active safety system based on video recognition and vehicle ad-hoc network

Abstract

The invention discloses an automobile active safety system based on video recognition and a vehicle ad-hoc network. The automobile active safety system mainly comprises a video acquisition module, a processing module, a short distance communication module, a master control module and an output module. By installing the modules on an automobile, automobiles in front of or behind the automobile can be connected to form a mobile ad-hoc network so as to transmit automobile positions, plate numbers, speed and other information in the network, and active and safe protection of automobiles can be achieved.

Description

technical field [0001] The invention relates to the active safety technology of automobiles, in particular to the active safety technology of automobiles based on video identification and vehicular ad hoc network. Background technique [0002] Automobile safety measures can be divided into active safety measures (to prevent accidents) and passive safety measures (to reduce the consequences of accidents). Existing passive safety technologies mainly include airbags, pre-tensioned seat belts, etc.; common active safety technologies include AWS anti-collision warning system, ABS anti-lock braking system, VSA vehicle stability control system and so on. In addition, in terms of active safety based on machine vision, there are some preliminary achievements in rear-view systems, lane departure and vehicle distance maintenance at home and abroad. However, these technologies only consider the possible dangers from the perspective of the vehicle itself, and do not consider the dangers...

AI Technical Summary

Problems solved by technology

Centralized network control by the base station is undoubtedly a relatively simple solution, which can directly rely on mature 2G / 3G mobile communication network technology, but this solution has two disadvantages: 1) It cannot provide real-time support for driving safety applications. , there is a large delay and low reliability in forwarding information between vehicles through the base station; 2), the channel resources of the base station are very limited and relatively expensive, and it is unrealistic and uneconomical to provide online communication support to all driving vehicles

[0007] At present, most VANETs are based on GPS, but there are many shortcomings due to the limitation of GPS measurement accuracy and response speed

For example, in the process of stopping at a red light, the vehicle distance can be as low as 1 meter, in which case it is difficult for GPS to locate

In addition, during the driving process of the car, the position of the car is required to be updated quickly. This calculation of distance and speed from the absolute position is easy to cause errors, and the distance calculation with high precision depends on the map, which will cause errors for complex road conditions and environments.

Images