Scholarlink

This paper presents a comprehensive analysis on microcontroller units used in flight controller boards of Unmanned Aerial Vehicles used for analyzing high volumes of data that needs to be processed for local image analysis and 3D mapping, as part of campus or construction site surveillance applications. It aims to aid drone developers and service administrators in the selection of optimized processing unit and board configurations as per the application. In addition, this paper will serve as a useful resource for drone engineers in understanding the intricate setup of a drone system used for high-volume data processing. This paper details the design and economic feature analysis for 5 microcontroller units most popularly used in drone technology. It divides the drone processor features into 2 parts, Performance Factors and Operation Factors, and further details their roles in the selection of optimized processor for particular applications in terms of cache memory, clock speed, power consumption, degree of parallelism, and other design features.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Low-Power High-Performance Microcontroller Units Used for Resource-Intensive High-Volume Local Image Processing and 3D Mapping in Construction Site and Campus Security Surveillance Drones

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Manish Tiwari,
  • Anjali Potnis

摘要

This paper presents a comprehensive analysis on microcontroller units used in flight controller boards of Unmanned Aerial Vehicles used for analyzing high volumes of data that needs to be processed for local image analysis and 3D mapping, as part of campus or construction site surveillance applications. It aims to aid drone developers and service administrators in the selection of optimized processing unit and board configurations as per the application. In addition, this paper will serve as a useful resource for drone engineers in understanding the intricate setup of a drone system used for high-volume data processing. This paper details the design and economic feature analysis for 5 microcontroller units most popularly used in drone technology. It divides the drone processor features into 2 parts, Performance Factors and Operation Factors, and further details their roles in the selection of optimized processor for particular applications in terms of cache memory, clock speed, power consumption, degree of parallelism, and other design features.