Vehicle detection method based on uniaxial geomagnetic sensor

Abstract

The invention discloses a vehicle detection method based on a uniaxial geomagnetic sensor. The method comprises the following steps: two geomagnetic sensors are horizontally arranged at a fixed distance on the same lane, and when a vehicle passes by, the two geomagnetic sensors gather data; the data gathered by the geomagnetic sensors are subjected to data cleaning and noise removal; the geomagnetic sensors use an improved fixed threshold-based state machine algorithm to detect a vehicle, and the time when the vehicle reaches the detection range of the sensor and the leaving time are extracted; and the vehicle flow in a set time period is counted, and the driving speed of the vehicle and the length of the vehicle are calculated. The method can be used alone to obtain vehicle parameters inimportant traffic sections or intersections, and can also be used in conjunction with other traffic detection devices, more comprehensive traffic information is acquired, and the method has the advantages that the power consumption is low, the detection sensitivity is high, the mounting is convenient, and the method is not influenced by a harsh environment.

Description

technical field [0001] The invention relates to the technical field of vehicle detection, in particular to a vehicle detection method based on a single-axis geomagnetic sensor. Background technique [0002] In the intelligent transportation system, the field of vehicle detection is the foundation of intelligent transportation, and it is also the most important link. Currently, the main equipment for vehicle detection includes an induction loop detector (ILD), a video camera, and a geomagnetic sensor. In the past few years, ILD has been the most widely used, and because of its simple technology and low cost, it has been applied in large-scale engineering. However, ILD has low sensitivity and poor anti-interference performance. When it is applied to traffic perception, the recognition accuracy is low. The video camera identifies the type of vehicle by analyzing the license plate number or vehicle shape of the vehicle. The accuracy is high, but it is expensive, and because vi...

AI Technical Summary

Problems solved by technology

Although this algorithm can identify vehicles under low-speed congestion conditions, the complexity of the algorithm is high, and the accuracy of extracting waveform features for vehicle type identification is not high, and it is impossible to obtain more vehicle information.

[0004] In summary, most of the existing literature focuses on the research on vehicle detection of a single multi-axis geomagnetic sensor. Although the multi-axis sensor can obtain more signals of vehicle disturbance geomagnetic field, it adds complexity to the post-processing data and design algorithms. The real-time performance is not high, and the use of a single geomagnetism to obtain vehicle information is limited, there are errors in vehicle detection, and large or small vehicles are easy to miss detection

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