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Design and Implementation of Intelligent Security Robot Based on Lidar and Vision Fusion*
Author(s) -
Bo Zhou,
Minglin Du,
Zhenguo Chen,
Yajun Liu,
Yan Zhang,
Yan Wang
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2216/1/012013
Subject(s) - stm32 , computer vision , computer science , artificial intelligence , robot , lidar , sensor fusion , alarm , matching (statistics) , real time computing , remote sensing , engineering , geography , telecommunications , chip , statistics , mathematics , aerospace engineering
Nowadays, the mainstream security robot is expensive and the single 2D Lidar SLAM robot has large pose error and large matching calculation in navigation. To solve these problems, this paper designs an intelligent security robot based on the ROS system and STM32 microcontroller. Through the fusion of camera, IMU, lidar multi-sensor data, completing its own positioning, surrounding environment mapping and autonomous navigation functions; Binocular camera for face recognition, lock suspicious persons; Combined with temperature and humidity, smoke and other sensors for environmental monitoring, real-time alarm; Security personnel remote control, according to the data uploaded by the robot to complete the patrol. After a lot of experiments, the functions of the robot are better completed, which has a certain practical value.

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