DESIGN AND EXPERIMENTAL STUDY OF AN INTELLIGENT INSPECTION UGV FOR AGRICULTURAL APPLICATIONS
农业智能检测无人小车的设计与试验研究
DOI : https://doi.org/10.35633/inmateh-78-43
Authors
Abstract
Agricultural intelligence is an important trend in the development of modern agriculture. However, agricultural UGVs that rely on manual intervention or fixed path planning suffer from low operational efficiency and poor adaptability. To address these issues, an obstacle-avoidance UGV based on an STM32 microcontroller is designed in this study. The UGV uses a motor driver chip for motion control, Bluetooth for signal transmission, and an integrated image transmission module, which effectively improves obstacle recognition and rapid obstacle avoidance compared with conventional agricultural UGVs. Experimental results show that the steering angle control accuracy of the vehicle ranges from 90.0% to 98.9%, while the obstacle detection accuracy ranges from 92.5% to 98.3%. The UGV is able to stably complete obstacle-avoidance tasks under field conditions.
Abstract in Chinese



