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Toward Autonomy of Micro Aerial Vehicles in Unknown and Global Positioning System Denied Environments
- Source :
- IEEE Transactions on Industrial Electronics. 68:7642-7651
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
Abstract
- In this article, we present a comprehensive design and implementation for a micro aerial vehicle (MAV) that is able to perform 3-D autonomous navigation and obstacle avoidance in cluttered and realistic unknown environments without the aid of global positioning system and other external sensors or markers. To achieve these autonomous missions, modularized components are developed for the MAV, including visual–inertial odometry, 3-D occupancy mapping, and motion planning. The proposed system is implemented to run on a small embedded computer in real time. It is demonstrated to be robust in both simulation and real flight experiments. The demonstration video is available at: https://youtu.be/KUKzsnORm-4 .
- Subjects :
- business.industry
Computer science
020208 electrical & electronic engineering
Real-time computing
02 engineering and technology
Odometry
Control and Systems Engineering
Obstacle avoidance
0202 electrical engineering, electronic engineering, information engineering
Global Positioning System
Motion planning
Electrical and Electronic Engineering
Visual odometry
business
Velocity measurement
Subjects
Details
- ISSN :
- 15579948 and 02780046
- Volume :
- 68
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Industrial Electronics
- Accession number :
- edsair.doi...........560b9e11b61e57462634df73976cb3b4