Vehicle-mounted navigation device and navigation method for recognizing main road and auxiliary road

Abstract

The invention discloses a vehicle-mounted navigation device and a navigation method for recognizing a main road and an auxiliary road, and belongs to the technical field of vehicle-mounted navigation. The navigation method comprises the following steps that a GPS receiver receives the current position detected through GPS position signals, map matching is carried out according to the received current position information, and when the main road and the auxiliary road exist in matched candidate roads and an entrance of the main road and the auxiliary road exist at the place ahead, vehicle steering recognition is carried out through a vehicle backing rear-view camera, in other words, the vehicle steering recognition function is started, and whether a vehicle needs to get in and get out of the main road or the auxiliary road can be judged from the time when vehicle leaves the current main road entrance and the current auxiliary road entrance till the time when recognition is stopped through a preset threshold. According to the vehicle-mounted navigation device, whether the vehicle needs to get in or get out of the main road or the auxiliary road can be judged according to the current position of the vehicle and the image extracted through the back rear-view camera, and therefore whether the vehicle is on the main road or the auxiliary road can be accurately recognized, a guarantee is provided for accuracy of navigation prompt, and the safety of vehicle driving is improved.

Description

[0001] This application is a divisional application, the application number of the original application: 201210214008.9, the application date: 2012-06-26, the title of the invention: a vehicle navigation device and navigation method for identifying main and auxiliary roads. technical field [0002] The invention relates to the technical field of vehicle navigation for intelligent transportation, in particular to a vehicle navigation device and a navigation method for identifying main and auxiliary roads. Background technique [0003] The development of cities is inseparable from the development of roads. Convenient and efficient transportation promotes the development of urban economy. The urban population and vehicles are increasing day by day, which puts forward higher requirements for urban traffic and vehicles running on urban roads. Since the 1980s, many large cities such as Beijing have built urban expressways, and these roads are often divided into main roads and auxil...

AI Technical Summary

Problems solved by technology

[0004] However, due to the small distance between expressway exits, it is easy to cause peak traffic congestion at the entrance and exit of the main and auxiliary roads. If the entrance and exit of the main and auxiliary roads are not accurately located, vehicles are easily mixed into the traffic flow of the main road and miss the exit. In addition, There is not much difference in appearance between the main road and the auxiliary road, but the load and speed requirements of the vehicles on the main and auxiliary road are different. Drivers are likely to cause traffic accidents due to inertial driving. Therefore, a more accurate vehicle navigation technology is needed. Enables the driving vehicle to judge the current location in real time, whether to enter or leave the main road or side road

[0005] However, in the prior art, the car navigation device's positioning of the vehicle focuses on how to determine the road corresponding to the vehicle, but does not pay enough attention to the positioning accuracy of the vehicle position point, but simply completes the matching point with the vertical matching method. The determination of the track point is used to match the vertical foot of the road, and the vertical foot is used as the matching point of the vehicle position. This situation makes it impossible to effectively correct the error of the vehicle navigation along the road direction. In the best case, the error can even be It must also reach 10m. This inaccuracy makes it impossible for vehicles driving on the main road or side roads to accurately guide the road.

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