Laser scanning based vehicle type recognition method for free flow charging

Abstract

The invention relates to a laser scanning based vehicle type recognition method for free flow charging. The laser scanning based vehicle type recognition method includes the following steps: by a laser scanning detector, parallelly scanning two sections of a travelling vehicle to acquire measured angle and distance data, wherein the two sections are perpendicular to the road plane and intersect; by the laser scanning detector, uploading the measured angle and distance data to a vehicle type recognition device; by the vehicle type recognition device, calculating to acquire length, width and height of the vehicle and outline information of the whole vehicle; matching the acquired vehicle outline information with a vehicle type classification feature library to acquire a vehicle type to achieve automatic vehicle type recognition. By the laser scanning based vehicle type recognition method, automatic vehicle type recognition of all passing vehicles of free vehicle flows with the average vehicle speed below 120 kilometers/hour can be realized.

Description

Technical field [0001] The invention belongs to the technical field of intelligent traffic information collection equipment and methods, and specifically relates to a laser scanning vehicle identification method for free flow toll collection. Background technique [0002] At present, my country’s road traffic pressure is getting worse and serious congestion occurs in key cities across the country. In this case, in order to solve the problem of urban arterial road congestion charging and improve the information level of intelligent traffic management, high-speed ETC (electronic non-stop) without toll islands Toll system), namely, Multi-lane Free Flow (MLFF) toll system has become a research and development hotspot at home and abroad. Compared with low-speed ETC, free flow reduces railings and toll islands, improves toll efficiency and vehicle traffic speed. However, it is necessary to install multiple roadside units (RSU), vehicle positioning, automatic vehicle classification, Ima...

AI Technical Summary

Problems solved by technology

Its disadvantages are: the geomagnetic induction recognition transforms the three-dimensional information of the vehicle chassis shape into the sensed one-dimensional information, which increases the difficulty of signal analysis and the difficulty of identifying the vehicle type, and seriously affects the accuracy of recognition when the vehicle changes speed above the coil

The disadvantage is that it is difficult to segment and extract vehicles in video streams with complex environmental backgrounds, resulting in poor stability and accuracy of recognition

[0007] 1. This solution uses single-point laser ranging, which cannot accurately obtain the length data of the vehicle. The vehicle length needs to be calculated according to the vehicle speed and passing time. When the vehicle speed is fast, the measurement accuracy will decrease

[0008] 2. This solution cannot detect the width data of the vehicle

[0010] 1. The width and length information of the vehicle cannot be accurately measured when the vehicle passes at high speed (120km / s)

[0011] 2. The laser measurement direction is not perpendicular to the road surface, and there is a measurement blind spot when the traffic flows through, which is not conducive to the separation of the front vehicle and the rear vehicle

Images