Road rescue equipment forward direction dragging inducing method based on deep learning

Abstract

The invention discloses a road rescue equipment forward direction dragging inducing method based on deep learning. The road rescue equipment forward direction dragging inducing method comprises the steps: firstly improving a dragging device structure based on a tiny-operation characteristic of road rescue equipment in combination with the structure and operation characteristic of the dragging device of the road rescue equipment; obtaining network parameters according to a road rescue equipment dragging device, then identifying the license plate of a dragged vehicle in a positive orientation operation area image by utilizing the network, finally measuring the transverse deviation between the road rescue equipment dragging device and the dragged vehicle, and stably and reliably inducing an operator to carry out dragging operation in real time, thereby achieving the purpose of improving the dragging rescue efficiency and safety performance.

Description

technical field [0001] The invention belongs to the technical field of road rescue, and in particular relates to a deep learning-based towing induction method for road rescue equipment. Background technique [0002] With the continuous development of social economy and the rapid advancement of urban integration, people's living standards have generally improved, the number of motor vehicles has shown explosive growth, and social demands such as road traffic accident rescue and illegal vehicle handling have also grown rapidly. The importance of the road rescue industry has become increasingly prominent, and has gradually attracted the attention of the society. Road rescue equipment has multiple basic operations such as towing, pulling, righting, lifting, and pushing and shoveling, and towing rescue is the most widely used and frequent basic operation in the road rescue process. However, at present, domestic and foreign researches on the towing induction technology of road re...

AI Technical Summary

Problems solved by technology

In the traditional towing operation in the positive direction, the operation of aligning the towing device of the road rescue equipment with the towed vehicle is quite difficult, and its efficiency mainly depends on human factors such as the driver's technical experience, and usually requires multiple repetitions It takes too long to correct the position by reversing the car, and the rescue efficiency is low

[0004] In recent years, some positive orientation towing induction methods based on license plate positioning have appeared in the field of road rescue. The license plate is detected by machine vision methods, the left and right center positions of the towed vehicle are determined, and then the positive orientation towing guidance is implemented, which improves the safety to a certain extent. The degree of intelligence of road rescue equipment, but methods based on machine vision often require manual extraction and establishment of features, and the ability to adapt to the environment still needs to be improved

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