A perception system and method for autonomous snow removal

Abstract

The invention discloses a perception system and method for an autonomous snow removal device. The system includes: a laser radar, a global satellite navigation system, a thermal imager, a visible light camera, a processor and a base; the laser radar is used to collect the environment and obstacles information, and send environment and obstacle information to the processor; the global satellite navigation system is used to collect current location information, and send the current location information to the processor; the thermal imager is used to Collecting thermal images of the surrounding environment, and sending the thermal images of the environment to the processor; the processor is connected to the snow plowing device, and the processor is used to information and the thermal image information of the environment, and send a drive signal to the snow removal device to drive the snow removal device to sweep snow. The above-mentioned system and method in the present invention can be used for the autonomy of snow-plowing devices and improve the efficiency of snow-plowing.

Description

technical field [0001] The invention relates to the field of snow removal, in particular to a perception system and method for autonomous snow removal devices. Background technique [0002] After snowing in winter, in order to ensure road safety and normal daily life, a lot of manpower and material resources are often invested in snow removal operations. big security risk. Aiming at the problem of investing a lot of manpower and material resources in snow removal, there are several autonomous snow removal equipments in the prior art. However, these snow removal equipment mainly have the following disadvantages: first, among numerous autonomous snow removal equipment, a more popular scheme is: a number of detection probes are set in the area that will need autonomous snow removal, through the data of the detection probes and The sensor data on the snow plow is fused to determine whether it is snowing, whether it needs snow removal, and how effective the snow removal is. Ho...

AI Technical Summary

Problems solved by technology

However, these snow removal equipment mainly have the following disadvantages: first, among numerous autonomous snow removal equipment, a more popular scheme is: a number of detection probes are set in the area that will need autonomous snow removal, through the data of the detection probes and The sensor data on the snow removal vehicle is fused to determine whether it is snowing, whether it needs snow removal and how effective the snow removal is

However, the limitation of this method is that it depends too much on the environment, and a set of equipment can only be used in a fixed area, that is, it can only work in the area where the detection probe is installed

Second, there is currently an unmanned snow removal vehicle that uses the on-board camera to perform image recognition on the snow-covered road surface, and then judge the snow accumulation on the road surface. However, this method cannot accurately detect the snow thickness, etc. Images of snow-free roads for comparison

Moreover, the unmanned snow removal vehicle based on image recognition can only perform image recognition on the surface of the snow layer (or snowdrift surface, etc.), and cannot judge whether there are foreign objects under the snow surface. If there is some foreign object under the snow surface, it may be damage to snow removal equipment

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