@inproceedings{d825a8334b8044728e73420d338eb366,
title = "An UAV navigation aided with computer vision",
abstract = "Currently most of UAV navigation systems are composed of GPS/INS integrated navigation. To give a alternative navigation method when GPS doesn't work on UAV, a machine vision-aided navigation method is proposed to navigate the UAV with INS. Image Stitching as the core technology is to build real-time ground panoramic image. Combined with GPS latitude and longitude information, certain data fusion method is used to build dynamic ground map. In case of failure of GPS positioning, scene matching techniques is used on the dynamic map to get real-time latitude and longitude information of UAV, to form a integrated navigation with pure inertial system. Also, UAVs can perform a variety of intelligent missions based on the method. In this paper, Visual C + + is applied to form complete visual / GPS / INS integrated navigation simulation system, the simulation experiments of proposed navigation method verify the feasibility of the program and high prospects.",
keywords = "Image Stitching, Scene Matching, UAV, Vision Navigation",
author = "Chenghao Zhang and Jiabin Chen and Chunlei Song and Jianhua Xu",
year = "2014",
doi = "10.1109/CCDC.2014.6852209",
language = "English",
isbn = "9781479937066",
series = "26th Chinese Control and Decision Conference, CCDC 2014",
publisher = "IEEE Computer Society",
pages = "5297--5301",
booktitle = "26th Chinese Control and Decision Conference, CCDC 2014",
address = "United States",
note = "26th Chinese Control and Decision Conference, CCDC 2014 ; Conference date: 31-05-2014 Through 02-06-2014",
}