Intelligent vehicle navigation system, navigation method and intelligent vehicle

Abstract

The invention discloses an intelligent vehicle navigation system, a navigation method and an intelligent vehicle. The navigation system comprises a weather information acquisition module, a road condition information acquisition module, a communication module and a navigation processing module. The communication module is used for transmitting information, about weather, road condition and location of pathways, acquired by the intelligent vehicle to a navigation server to allow the navigation server to generate weather and road condition navigation information according to the information about weather and road condition and relevant location information acquired by at least one intelligent vehicle. The navigation processing module is used for acquiring weather and road condition navigation information which are fed back by the navigation server according to users' navigation requirement, and displaying the information about weather and road condition on a display, thereby determining navigation ways according to the navigation information about weather and road condition. Users of the intelligent vehicle can determine driving ways according to information about weather and road conditions which are shared by other users, thereby avoiding ways with bad weather or severe road conditions initiatively.

Description

technical field [0001] The invention relates to the field of vehicle navigation, in particular to an intelligent vehicle navigation system, a navigation method and an intelligent vehicle. Background technique [0002] Car navigation is a commonly used technology in modern society, which can provide users with accurate route navigation information. Car navigation in the prior art is generally based on GPS, etc. Although GPS can provide accurate navigation paths, when special circumstances such as rain, snow, hail and mudslides occur, GPS navigation cannot reflect these weather conditions in time . Especially in the rainy weather, the potholes, culverts, and tunnels on the road are prone to water accumulation. If the driver cannot obtain the rainfall information or the water accumulation on the road in time, it is easy to enter the puddle by mistake, causing the engine to flood or the vehicle to overturn, etc. Safety accidents: For example, in Beijing, there have been major ...

AI Technical Summary

Problems solved by technology

Car navigation in the prior art is generally based on GPS, etc. Although GPS can provide accurate navigation paths, when special circumstances such as rain, snow, hail and mudslides occur, GPS navigation cannot reflect these weather conditions in time

Especially in the rainy weather, the potholes, culverts, and tunnels on the road are prone to water accumulation. If the driver cannot obtain the rainfall information or the water accumulation on the road in time, it is easy to enter the puddle by mistake, causing the engine to flood or the vehicle to overturn, etc. Safety accidents: For example, in Beijing, there have been major accidents in which people in the car drowned because the car owner was not familiar with the road conditions and entered a stagnant water culvert

The settings of the rainfall monitoring and waterlogging monitoring system in the prior art are relatively fixed, and the car cannot monitor the waterlogging information of each road section in real time, making it inconvenient for navigation users to give navigation strategies based on the current road conditions

In addition, the existing technology cannot obtain real-time road surface and weather conditions based on the vehicle, share them with other users, and cannot provide users with smart cars that consider user needs.

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