Vehicle obstacle avoidance early warning system based on infrared and millimeter wave radar technology

Abstract

The scheme of the invention discloses a vehicle assistance driving system based on the infrared thermal imaging and millimeter wave radar technology. The main functions include pedestrian and vehicledetection, image and sound fusion and collision early warning in driving of the vehicle. The early warning system uses the following technical characteristics: the infrared camera and the millimeter wave radar specialized for vehicle-mounted assistance driving, the data acquired by the radar, such as the distance, the direction and the speed and the images acquired by the infrared camera are fusedfor screening and determining the pedestrians or the vehicles, the pedestrian or vehicle characteristics are extracted through the algorithm, finally the result is displayed on the visual interface and multidimensional early warning information including images, numbers and sound is provided.

Description

technical field [0001] The invention belongs to the field of intelligent traffic safety driving, and in particular relates to an ADAS (Advanced Driver Assistance System) for vehicle obstacle avoidance warning. Background technique [0002] At present, various types of vehicles on the road have increased significantly, and various traffic accidents that follow have shown a trend of increasing year by year, and 80% of traffic accidents are caused by the driver's incomplete acquisition of road condition information in harsh environments. Therefore, the vehicle collision avoidance warning system is also the focus of current ADAS research. [0003] For the existing ADAS technology, the real-time status of vehicles and pedestrians is mainly obtained through various cameras, millimeter-wave radar and other sensors as the data entry of the perception layer. However, in the current anti-collision warning system using various cameras or millimeter-wave radar and other technologies, t...

AI Technical Summary

Problems solved by technology

[0004] 1. The information obtained by a single sensor is limited and often only has one advantage: for example, far-infrared cameras are more sensitive to image information and are not affected by harsh environments such as night, smog, and dust, but the accuracy of distance measurement is limited; The millimeter-wave radar is more sensitive to information such as the speed, distance, and azimuth of the target, but it cannot directly acquire images.

[0005] 2. At the judgment level, the existing ADAS systems often only have algorithms based on the same type of sensors, such as radar ranging, infrared pedestrian and vehicle recognition, etc., while higher-level fusion algorithms and algorithms for making corresponding judgments are relatively scarce. The early warning rate of obstacles in front of the vehicle is not high

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