Driving assistance system and real-time warning and prompting method for vehicle

Abstract

The invention relates to a driving assistance system and a real-time warning and prompting method for a vehicle. Image data of collected targets in front of a current vehicle is collected through an image collection module, then, a lane target in the image data is recognized by a traffic target recognition submodule, a region of interest is marked out according to the recognized lane target, and the region of interest is served as a key recognized target; and the image collection module is controlled by a data processing module to take a lane corresponding to the region of interest as an image collection target. Therefore, after the region of interest is mainly detected, the image collection module is capable of collecting image data required by a user more in time without collecting all forward data, therefore not only is collection capacity of the image collection module lowered but also data processing capacity of the data processing module is reduced, so that calculation amount of the whole system is reduced, calculation speed is accelerated, and warning response time is shortened.

Description

Technical field [0001] The invention relates to a driving assistance system, in particular to a driving assistance system with high stability and fast response time and a real-time warning and reminding method for vehicles. Background technique [0002] Traditional vehicle driving completely relies on the driver. When the driver is inexperienced or fatigued driving, road traffic accidents are prone to occur. Advanced driver assistance system, namely ADAS (Advanced Driver Assistance System) is a system that assists the driver in operating the vehicle. ADAS collects data about the surrounding environment of the vehicle through sensors or cameras installed on the vehicle, and processes the collected data to provide the driver with information about the driving situation of the vehicle, help the driver make correct decisions, and improve driving safety Sex. [0003] The existing ADAS uses radar ranging, ranging sensors, or machine vision to detect the surrounding environment of the v...

AI Technical Summary

Problems solved by technology

Radar ranging covers a small angular range and is susceptible to electromagnetic wave interference from other radar devices and communication facilities

The laser ranging sensor can cover a large angle range, but the main disadvantage of the laser ranging sensor is that the stability will be reduced in a high-speed environment, and it is not suitable for vehicle ranging at high speed

The ranging sensor can only judge the front objects that are closer to the vehicle, but cannot more accurately predict the relative positional relationship between the vehicle and the vehicle in front, and cannot determine whether the vehicle in front is a real risk of collision

[0004] Since the existing ADAS cannot accurately determine the specific positional relationship between the vehicle in front and the vehicle in front, it may issue a false alarm when the vehicle approaches the vehicle in front of the adjacent lane (for example, when overtaking), interfering with the driver's normal driving

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