Methods for Localization and Mapping Using Vision and Inertial Sensors
Author:
Affiliation:
1. Georgia Tech
Publisher
American Institute of Aeronautics and Astronautics
Link
http://arc.aiaa.org/doi/pdf/10.2514/6.2008-7441
Reference13 articles.
1. Autonomous airborne navigation in unknown terrain environments
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4. A Vision-Based Navigation Algorithm for a VTOL- UAV
5. Obstacle Avoidance for Unmanned Air Vehicles Using Image Feature Tracking
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1. Real-Time Guidance of Quadrotor for Obstacle Mapping Using Vision System;AIAA Guidance, Navigation, and Control Conference;2015-01-02
2. 3D Shape Mapping of Obstacle Using Stereo Vision Sensor on Quadrotor UAV;AIAA Guidance, Navigation, and Control Conference;2014-01-10
3. Autonomous Flight in GPS-Denied Environments Using Monocular Vision and Inertial Sensors;Journal of Aerospace Information Systems;2013-04
4. GPS-denied Indoor and Outdoor Monocular Vision Aided Navigation and Control of Unmanned Aircraft;Journal of Field Robotics;2013-03-19
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