Management system of unmanned logistics vehicle

Abstract

The invention discloses a management system of an unmanned logistics vehicle, which comprises a wearable user terminal and an automatic driving center integrally arranged on the unmanned logistics vehicle, the wearable user terminal is used for inputting indication signals and displaying data information of real-time road conditions, obstacles and unmanned logistics vehicle conditions acquired by the automatic driving center; and the wearable user terminal interacts with the automatic driving center through the server platform and can drive the unmanned logistics vehicle to brake, steer, accelerate and stop, so that the unmanned logistics vehicle runs to a destination corresponding to the input indication signal. Data information of real-time road conditions, obstacles and unmanned logistics vehicle conditions can be monitored in real time.

Description

technical field [0001] The invention relates to the technical field of unmanned vehicles, in particular to a management system for unmanned logistics vehicles. Background technique [0002] With the maturity and progress of autonomous driving technology, there are more and more application scenarios for unmanned vehicles. At present, unmanned logistics vehicles are widely used, which can replace manual labor in goods logistics and commodity sales in a certain area. The unmanned driving system on the unmanned logistics vehicle mainly uses the on-board sensors to perceive the surrounding environment of the vehicle, and controls the steering and speed of the vehicle based on the road, vehicle position and obstacle information obtained from the perception, so that the vehicle can be safe and reliable. drive in the area. However, when the existing unmanned driving system controls the driving of the unmanned logistics vehicle, it cannot monitor the driving status of the unmanned...

AI Technical Summary

Problems solved by technology

However, when the existing unmanned driving system controls the driving of the unmanned logistics vehicle, it cannot monitor the driving status of the unmanned logistics vehicle itself in real time, which will lead to the fact that the unmanned logistics vehicle itself cannot be detected in time when it encounters an emergency

Therefore, for a management system of an unmanned logistics vehicle, when the existing unmanned driving system controls the driving of the unmanned logistics vehicle, it cannot monitor the driving status of the unmanned logistics vehicle itself in real time, which will lead to the failure of the unmanned logistics vehicle. When we encounter emergencies, we cannot be found in time is the problem we have to solve

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