Airport vehicle management and control method and system based on cloud control platform

Abstract

The invention discloses an airport vehicle management and control method and system based on a cloud control platform. The method comprises the steps that an initial planning path is generated for a target vehicle through a global vehicle path planning platform; fusing the detected obstacle information for multiple times according to different priority sequences by using the vehicle management platform and / or the global vehicle path planning platform to generate a target fusion result; and generating first vehicle information needing path change and a path local coordination command according to the target fusion result, and sending the first vehicle information and the path local coordination command to the first vehicle through a corresponding vehicle management platform. The method is low in cost, high in response speed, small in data redundancy and stable in system, meanwhile, the influence of problems such as detection blind areas and signal interference on obstacle detection accuracy is reduced, and the application prospect of the automatic driving vehicle in airports and other scenes is further improved.

Description

technical field [0001] The invention relates to the technical field of automatic driving, and in particular, to a method and system for managing and controlling airport vehicles based on a cloud control platform. Background technique [0002] Self-driving car, also known as driverless car, computer-driven car or wheeled mobile robot, is a kind of intelligent car that realizes unmanned driving through computer system. In the 20th century, it has a history of several decades, and the beginning of the 21st century shows a trend of close to practical use. Self-driving cars rely on artificial intelligence, visual computing, radar, surveillance devices, and global positioning systems to work together to allow computers to operate motor vehicles without any human intervention. [0003] With the development of autonomous driving technology, the application of autonomous vehicles in airports, ports and other environments is becoming more and more extensive. For example, in airports,...

AI Technical Summary

Problems solved by technology

[0004] The existing technology usually uses the on-board sensors (such as lidar, camera, etc.) of the self-driving vehicle's own device to perform its own positioning and surrounding obstacle detection. The application requirements of various environments affect the application effects of various vehicles in the airport in terms of real-time scheduling, path planning, and obstacle avoidance.

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