首页|基于无人驾驶的多场合应用型挖掘机

基于无人驾驶的多场合应用型挖掘机

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挖掘机应用领域多、工作量大、操作复杂.在如今智能化产品不断问世的大环境下,无人驾驶挖掘机的研发也具有重大意义.以微型挖掘机模型为基础,对模型从机械、视觉、人工智能等方向进行研发,旨在打造一个无人驾驶自主作业的挖掘机模型.模型由视觉部分、电源部分、主控部分组成.选用STM32F103 单片机作为主控芯片,使用电机、舵机作为制动装置.视觉部分进行图像传输和图像处理.以模型进行设计创造希望以此对工业挖掘机实现自动化控制做出贡献.
Multi-occasion Application Excavator Based on Unmanned Driving
Excavators have many application fields,heavy workload and complex operation.In today's envi-ronment where intelligent products are constantly coming out,the research and development of unmanned excava-tors is also of great significance.Based on the mini excavator model,this project develops the model from the direc-tion of machinery,vision and artificial intelligence,aiming to create a model of unmanned excavator with autono-mous operation.This project is composed of vision part,power management part and main control part.STM32F103 single chip microcomputer is selected as the main control chip,and motor and servo are used as brake devices.The vision part performs image transmission and image processing.This project designs and creates models in order to contribute to the automatic control of industrial excavators.

object recognitionneural networksdriverles

王宇翔、王晖

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太原工业学院,山西 太原 030008

物体识别 神经网络 无人驾驶

2024

山西电子技术
山西省电子工业科学研究院 山西省电子学会

山西电子技术

影响因子:0.197
ISSN:1674-4578
年,卷(期):2024.(3)