Review of Navigation Methods for UAV-Based Parcel Delivery

被引：36

作者：

Dissanayaka, Didula ^{[1
]}

Wanasinghe, Thumeera R. ^{[2
]}

De Silva, Oscar ^{[2
]}

Jayasiri, Awantha ^{[3
]}

Mann, George K., I ^{[2
]}

机构：

[1] Xplorobot Canada ULC, St John, NB A1C 1B6, Canada

[2] Mem Univ Newfoundland, Fac Engn Appl Sci, St John, NB A1C 5S7, Canada

[3] CNR, Flight Res Lab, Ottawa, ON K1B 1J8, Canada

来源：

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING | 2024年 / 21卷 / 01期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Unmanned aerial vehicle (UAV); navigation; UAV-based parcel delivery; visual lidar odometry and mapping (VLOAM); VISUAL-INERTIAL ODOMETRY; PERFORMANCE ANALYSIS; AERIAL VEHICLE; SYSTEM; GPS; LOCALIZATION; FUSION; ROBUST; VERSATILE; ACCURACY;

D O I：

10.1109/TASE.2022.3232025

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a comprehensive review of state-of-the-art navigation methods available for unmanned aerial vehicles (UAVs) used in parcel delivery. Particularly, the paper focuses on state-of-the-art sensor configurations, multi-sensor data fusion architectures, and their performance when employed for UAV navigation. Additionally, this paper presents the associated safety regulations for UAV navigation currently imposed by regulatory bodies in US and Canada. The existing navigation solutions sometimes produce degenerative results due to GPS loss, multipath signals, spoofing events, and other sensor degradation scenarios. Therefore, this article investigates the suitability of integrating visual lidar odometry and mapping (VLOAM) with GPS to overcome the limitations of existing navigation solutions. A comparative study of the multi-sensory combined solutions is presented with numerical simulations, validating the regulatory compliance of VLOAM and GPS integrated system under common GPS failure cases.

引用

页码：1068 / 1082

页数：15

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