Relative Navigation Approach for Vision-Based Aerial GPS-Denied Navigation
نویسندگان
چکیده
منابع مشابه
Monocular Vision based Navigation in GPS-Denied Riverine Environments
This paper presents a new method to estimate the range and bearing of landmarks and solve the simultaneous localization and mapping (SLAM) problem. The proposed ranging and SLAM algorithms have application to a micro aerial vehicle (MAV) flying through riverine environments which occasionally involve heavy foliage and forest canopy. Monocular vision navigation has merits in MAV applications sin...
متن کاملNavigation in GPS Denied
This paper focuses on the latest technology trends for navigating in difficult urban, indoor, and underground environments where typical Global Positioning System (GPS) receivers do not function. The latest alternative navigation (Alt-Nav) technologies based on electro-optical techniques are described. These techniques extract features from electro-optical images (for example, a point feature a...
متن کاملVision-Aided Inertial Navigation for Small Unmanned Aerial Vehicles in GPS-Denied Environments
This paper presents a vision-aided inertial navigation system for small unmanned aerial vehicles (UAVs) in GPS-denied environments. During visual estimation, image features in consecutive frames are detected and matched to estimate the motion of the vehicle with a homography-based approach. Afterwards, the visual measurement is fused with the output of an inertial measurement unit (IMU) by an i...
متن کاملA Low-Cost Vision-Based Unmanned Aerial System for Extremely Low-Light GPS-Denied Navigation and Thermal Imaging
This paper presents the design and implementation details of a complete unmanned aerial system (UAS) based on commercial-off-the-shelf (COTS) components, focusing on safety, security, search and rescue scenarios in GPS-denied environments. In particular, The aerial platform is capable of semi-autonomously navigating through extremely low-light, GPS-denied indoor environments based on onboard se...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Intelligent & Robotic Systems
سال: 2013
ISSN: 0921-0296,1573-0409
DOI: 10.1007/s10846-013-9914-7