Unmanned Aerial Vehicle (UAV): Back to Base Without Satellite Navigation

被引：0

作者：

Blazhko, Vladislav ^{[1
]}

Kalinovsky, Alexander ^{[2
]}

Kovalev, Vassili ^{[2
]}

机构：

[1] Belarusian State Univ, Minsk, BELARUS

[2] NAS Belarus, United Inst Informat Problems, Minsk, BELARUS

来源：

PATTERN RECOGNITION AND INFORMATION PROCESSING | 2017年 / 673卷

关键词：

UAV; Drones; Detectors; Descriptors;

D O I：

10.1007/978-3-319-54220-1_15

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Everyone wants to automate routine or tiring work. There are a lot of tasks that may be done by drones. For example border protection or delivering. But before any company or even country adopts any technology we need to verify that it's not vulnerable to any attacks. A satellite navigation is at least one vulnerability for drones, which can be easily broken or spoofed. This is a serious problem on the way to automation work by drones. Our goal is to improve accuracy of existing Inertial Navigation Systems on UAVs with an on-board video camera. In this article we've investigated how feature based methods fit back to base problem.

引用

页码：140 / 149

页数：10

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