Blind person obstacle avoidance navigation system based on visual SLAM

A navigation system, a technology for the blind, applied in navigation computing tools, appliances to help people move, image data processing, etc., can solve problems such as inability to accurately describe environmental obstacle information in real time, large angle errors, etc., to enhance convenience. and functionality, improving accuracy and speed

Active Publication Date: 2022-07-08
HOHAI UNIV
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AI Technical Summary

Problems solved by technology

However, voice cannot accurately describe the information of environmental obstacles in

Method used

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  • Blind person obstacle avoidance navigation system based on visual SLAM
  • Blind person obstacle avoidance navigation system based on visual SLAM
  • Blind person obstacle avoidance navigation system based on visual SLAM

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Embodiment Construction

[0026] In actual use, blind people need to turn on the device switch, input the navigation mode and destination by voice, and then hold the blind stick and the vibration device to start navigation. During navigation, blind people need to avoid the direction of vibration and move in the direction of no vibration. In the process of moving forward, the blind person will hear the information of the surrounding objects, helping the blind person to get familiar with the surrounding environment.

[0027] A blind obstacle avoidance navigation system based on visual SLAM, including a data collection module, an obstacle avoidance navigation module and a scene reproduction module;

[0028] The data collection module includes two RGBD sensors and a development board. The two RGBD sensors are used to collect image information and distance information in front and below;

[0029] The obstacle avoidance navigation module includes a local planner, a global planner and a vibration device. At ...

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Abstract

The invention discloses a blind person obstacle avoidance navigation system based on visual SLAM (Simultaneous Localization and Mapping). The blind person obstacle avoidance navigation system comprises a data collection module, an obstacle avoidance navigation module and a scene reproduction module, the data collection module comprises two RGBD sensors and a development board. The two RGBD sensors are used for collecting image information and distance information of the front portion and the lower portion. The obstacle avoidance navigation module comprises a local planner, a global planner and a vibration device, a local obstacle map at the current moment in the data collection module can be obtained at each moment, and the map is transmitted to the local planner and the global planner; and the scene reproduction module comprises a receiver and an earphone, and finally outputs the article information to the earphone. According to the invention, the convenience and functionality of the blind guiding device are enhanced through multi-sensory prompts such as touch and hearing, and the accuracy and speed of forecasting are improved at the same time.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a blind obstacle avoidance navigation system based on visual SLAM. Background technique [0002] With the progress of today's society, people's homes and electronic devices are gradually increasing indoors, while outdoor infrastructure such as signs, street lights, trees and other road and greening aspects, various vehicles can be seen everywhere on the road. For ordinary people, it means a richer life. For the blind, these objects will become their "stumbling blocks" during the journey, which may mean danger and trouble. The popularization of outdoor blind lanes has not been fully utilized due to the uneven development among regions. Traveling freely and "seeing" the scene before meeting is more and more difficult for the visually impaired. [0003] There are traditional blind sticks and new electronic blind sticks for the existing aids for the blind. The traditional b...

Claims

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Application Information

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IPC IPC(8): A61H3/06G06N3/04G06Q10/04G06T7/73G06V20/40G06V10/82G01C21/20
CPCA61H3/061G06Q10/047G06T7/73G01C21/20A61H2003/063G06N3/045
Inventor 李昭斌刘逸辰芮楚梵
Owner HOHAI UNIV
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