Autonomous UAV Landing in a Box on a Moving Platform

Abstract

This document reports the results of research performed by the Intelligent Robotics Laboratory (IRL) at the University of Michigan-Dearborn to investigate, evaluate, and validate the autonomous landing of unmanned aerial vehicle under the Autonomous UAV Landing in a Box on a Moving Platform project. The project plan envisioned the IRL to develop and evaluate a prototype quadrotor for visual sensing of the environment, investigate algorithms for flight control, navigation, planning, target tracking, and sensor fusion. This report details hardware configuration of quadrotor, software architecture, experimental results of target tracking and autonomous landing on a stationary platform, discussions, and future work.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 14, 2017
Accession Number
AD1055057

Entities

People

  • Cong Zheng
  • Stanley Baek
  • Wenli Xu
  • Yi Fend

Organizations

  • Board of Regents of the University of Michigan

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Altitude
  • Cameras
  • Coding
  • Computational Complexity
  • Computer Programming
  • Computer Vision
  • Control Systems
  • Detection
  • Geometry
  • Kalman Filters
  • Measurement
  • Operating Systems
  • Parallel Computing
  • Sensor Fusion
  • Unmanned Aerial Vehicles

Fields of Study

  • Computer science

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Distributed Systems and Data Platform Development
  • Naval Mine Countermeasure Systems Development.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy