Intelligent shopping cart autonomous navigation and automatic following method based on path planning

Abstract

The invention provides an intelligent shopping cart autonomous navigation and automatic following method based on path planning, and belongs to the field of intelligent shopping carts. The method comprises the following steps: establishing a central server, and a map database, storing shopping mall paths and position data of various commodities into the map database, and updating regularly; afterthe user imports the shopping list into the shopping cart system, enabling the shopping cart system to record current position coordinates and label codes of all commodities and call a map database, matching the label codes with the positions of the corresponding commodities through the map database, so that destination coordinates of all the commodities needing to be reached are obtained; enabling a central server to planan optimal path through a path optimal algorithm according to the initial coordinates and the target coordinates, and automatic navigation is achieved; and when the advancing path is determined, entering an automatic following state. According to the invention, the optimal path required by shopping can be provided, and the shopping cart can automatically follow the shopping user.

Description

technical field

[0001] The invention relates to intelligent shopping cart technology, in particular to a path planning-based intelligent shopping cart autonomous navigation and automatic following method. Background technique

[0002] With the development of intelligent shopping, the retail industry will greatly increase profits due to the improvement of the shopping environment and the improvement of customer satisfaction. At present, most domestic shopping malls adopt the traditional shopping method and the checkout method of barcode scanning. The variety of goods, the crowding during the peak shopping period and the cumbersomeness of the traditional scanning code checkout method waste a lot of manpower and material resources and reduce customer satisfaction. In this context, smart shopping carts emerged as the times require, so the current smart shopping carts are not satisfactory in path planning, especially how to be more accurate and scientific in obstacle avoidance. M...

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