An Unmanned Aerial Vehicle Navigation Mechanism with Preserving Privacy

被引：0

作者：

Pan, Yan ^{[1
,2
]}

Li, Shining ^{[1
]}

Chang, Juan Luque ^{[2
]}

Yan, Yan ^{[1
]}

Xu, Shaoqing ^{[3
]}

An, Yinghai ^{[3
]}

Zhu, Ting ^{[2
]}

机构：

[1] Northwestern Polytech Univ, Sch Comp Sci & Engn, Xian 710072, Shaanxi, Peoples R China

[2] Univ Maryland, Comp Sci & Elect Engn, Baltimore, MD USA

[3] State Grid Jilin Elect Power Co Ltd, Changchun, Jilin, Peoples R China

来源：

ICC 2019 - 2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) | 2019年

基金：

国家重点研发计划;

关键词：

D O I：

10.1109/icc.2019.8761533

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Visual-based Unmanned Aerial Vehicles (UAVs) (e.g. equipped with an optical camera) have become more popular in daily life, because of their flexibility and convenience in capturing images/videos. Existing works mainly focus on the image/video capturing efficiency, but overlook the privacy violations that may be caused by the misuse of UAVs. In this paper, we study the Privacy Preserving Navigation (PPN) problem of the path planning of a UAV in 3D space to cover a 2D Target Area (TA), so that TA is covered while the privacy of sub-areas within TA is violated. We prove the PPN is NP-hard and propose a heuristic solution to PPN. The real word data trace driven emulation results show our solution is effective.

引用

页数：6

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