Paper
13 May 2022 Hardware control design of intelligent garbage recycling vehicle
Jianxin Liu, Hongwei Xu
Author Affiliations +
Proceedings Volume 12248, Second International Conference on Sensors and Information Technology (ICSI 2022); 1224804 (2022) https://doi.org/10.1117/12.2637614
Event: 2nd International Conference on Sensors and Information Technology (ICSI 2022), 2022, Nanjing, China
Abstract
Based on the concept of multi-sensor fusion, this paper proposes an autonomous walking intelligent garbage recycling vehicle with NUC 7i5BNK as the main controller. The recycling vehicle is mainly designed from the system hardware. The main contents of the hardware design include the detection module, control module, and drive module. The detection module is each sensor, which feeds back the real-time status of the recycling vehicle. The core processing chip of the control module is NUC 7i5BNK, which is connected to the embedded connection to obtain the data information fed back by the sensor, fuses the information, and sends instructions to the motor driver board of the execution module to control the operation of the motor. After many actual measurements, the intelligent recycling vehicle can accurately perform autonomous walking and automatic obstacle avoidance. In the process of autonomous walking, the intelligent recycling vehicle has a small output error of attitude angle, high walking path accuracy, stable operation, high flexibility, and wide coverage.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jianxin Liu and Hongwei Xu "Hardware control design of intelligent garbage recycling vehicle", Proc. SPIE 12248, Second International Conference on Sensors and Information Technology (ICSI 2022), 1224804 (13 May 2022); https://doi.org/10.1117/12.2637614
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Control systems

Nonuniformity corrections

Control systems design

Infrared sensors

LIDAR

Data processing

Back to Top