Autonomous mobile device and its method, device, device and storage medium

Abstract

The invention discloses an autonomous mobile device and its method, device, device and storage medium. The method includes: using millimeter wave radar to obtain point cloud data related to objects in the environment where the autonomous mobile device is located; based on the point cloud data , determining the detection information of the object in the environment where the autonomous mobile device is located; determining the target movement path of the autonomous mobile device according to the detection information of the object and the historical movement path of the autonomous mobile device; controlling the An autonomous mobile device travels along the target movement path. The present invention effectively prevents privacy leakage, realizes effective use of millimeter-wave radar to detect the surroundings in low-light and dark environments, and can accurately detect dark-colored and transparent objects such as glass, so that the detection information of the obtained objects is accurate. Higher reliability, which in turn increases the success rate of obstacle avoidance of autonomous mobile devices.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to an autonomous mobile device, a method, a device, a device and a storage medium thereof. Background technique [0002] With the development of artificial intelligence technology, autonomous mobile devices such as sweeping robots, remote control cars, aircraft and transportation vehicles are becoming more and more intelligent. Autonomous mobile devices, with some artificial intelligence, can autonomously navigate to target areas and complete corresponding tasks, so they are becoming more and more popular. [0003] At present, most autonomous mobile devices use laser, vision, and laser and vision combined technologies to build a map of the surrounding environment and achieve obstacle avoidance. However, visual technology has the risk of privacy leakage and is greatly affected by light. For example, lasers are interfered under strong light, and it is diff...

AI Technical Summary

Problems solved by technology

However, there is a risk of privacy leakage in visual technology, and it is greatly affected by light. For example, the laser is interfered under strong light, and the camera is difficult to capture the picture under low light, etc., which makes the obstacle avoidance failure rate of autonomous mobile devices higher.

In addition, many families will not choose autonomous mobile devices with cameras in order not to involve privacy leaks. However, this pure laser autonomous mobile device has certain disadvantages in avoiding transparent obstacles such as black and glass. Relying on laser technology, there are disadvantages such as the inability to recognize dark objects such as glass and black, and the fact that only two-dimensional information of scanned data cannot effectively judge obstacles in the surrounding environment, which also makes autonomous mobile devices have a high failure rate of obstacle avoidance.

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