Weather service system for automatic navigation and method

Abstract

The invention relates to a weather service system for automatic navigation and a method. The system comprises an automatic driving client side, a weather service side and a navigation service side, wherein the automatic driving client side is used for uploading GPS positioning data, target point information and key index thresholds of a vehicle sensor to the navigation service side; the weather service side is used for collecting element weather grid data in real time from a weather value mode system, performing fusion calculation on the element weather grid data to acquire automatic driving weather grid data; the navigation service side is used for excluding roads which are not suitable for going through in a road network based on the road network, the GPS positioning data, the target point information, the key index thresholds of the vehicle sensor and the automatic driving weather grid data, and planning the driving path according to the road network after the roads which are not suitable for going through are excluded. The weather service system can realize automatic and efficient path planning by combining with the weather situation and vehicle situation, and well combines with the automatic driving technology.

Description

technical field [0001] The invention relates to the field of automatic driving route planning, in particular to a weather service system and method for automatic driving navigation. Background technique [0002] At present, the path planning part of the vehicle autonomous driving system is considered from the perspective of trajectory decision-making, which can be divided into local path planning and global path planning. The global path planning plans a collision-free and traversable path from the starting point to the target point according to the map road network information. Under the known prior information such as electronic map, road network and macroscopic traffic information, the optimal path between two points is obtained according to an optimization objective, and the sensing information for path planning mainly comes from GPS positioning information and electronic map. Since the path generated by the global path planning can only be a rough path from the startin...

AI Technical Summary

Problems solved by technology

[0005] 1. Using this solution can only obtain weather forecast information on the traffic path, and it is necessary to make decisions manually based on weather information, and cannot automatically re-plan the path according to the weather;

[0006] 2. The weather forecast and disaster warning information described in this plan is more suitable for human understanding, and does not extract the key factors that affect the perceptio

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