Indoor multi-target track planning system and method

Abstract

The invention discloses an indoor multi-target track planning system and method wherein the entire system of the method comprises a plurality of cameras, a computer, a wireless router and smart small vehicles. The plurality of cameras photograph the indoor scenes in real time and the photographed images are transmitted to the computer in the control room through a wireless transmission network. The computer firstly pre-processes the photographed images and then, the photographed images are spliced. The computer plans barrier-free paths from the starting points of the various indoor smart small vehicles to a target point. Through the wireless transmission network, the path information is transmitted to the communication modules of various smart small vehicles. The movement control modules of the smart small vehicles control the movement of the smart small vehicles according to the received instruction information. The barrier avoiding modules of the smart small vehicles cooperate and work with each other in their moving process to assist the smart small vehicles to steer clear of the barriers. The system and the method of the invention increase the flexibility of indoor smart small vehicles in their running, raise the automatic running level of the indoor smart small vehicles and play an important scientific role and have great application value.

Description

technical field [0001] The invention relates to the technical field of indoor navigation, in particular to an indoor multi-objective trajectory planning system and method thereof. Background technique [0002] With the popularization of indoor intelligence, indoor smart car trajectory planning and navigation technology is a research hotspot in the field of indoor mobile cars. In the current related technology research, trajectory planning and navigation technology is the key to the autonomous driving of smart cars. The purpose of the research on trajectory planning and navigation technology is to realize the autonomous driving of the smart car along the planned path and complete the corresponding tasks. [0003] At present, there are mainly two methods for synchronous imaging of cameras: a method based on a single camera and a method based on multiple cameras. Based on the single camera method, only one camera is used to observe the indoor scene and extract feature points ...

AI Technical Summary

Problems solved by technology

In this method, although it is easier to identify indoor road signs, it is easily disturbed by passing things, and the car camera is also easily damaged

In addition, simple road signs are easy to operate in image processing, but do not have error correction, while complex road signs have complete error correction, but because the pattern is too complex, the operation is difficult, and the camera requirements are also high, so real-time poor sex;

[0006] 2. Using laser or ultrasonic array, the structure is complex and the cost is high;

This method has high requirements on the floor, and it is difficult to adapt to all indoor ground conditions

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