Survey of computer vision algorithms and applications for unmanned aerial vehicles
This paper presents a complete review of computer vision algorithms and vision-based
intelligent applications, that are developed in the field of the Unmanned Aerial Vehicles …
intelligent applications, that are developed in the field of the Unmanned Aerial Vehicles …
A robust UAV system for operations in a constrained environment
In this letter we present an autonomous system intended for aerial monitoring, inspection
and assistance in Search and Rescue (SAR) operations within a constrained workspace …
and assistance in Search and Rescue (SAR) operations within a constrained workspace …
UAV‐based simultaneous localization and map** in outdoor environments: A systematic sco** review
This study aims to investigate the current knowledge of unmanned aerial vehicle (UAV)‐
based simultaneous localization and map** (SLAM) in outdoor environments and to …
based simultaneous localization and map** (SLAM) in outdoor environments and to …
[HTML][HTML] Relevant experience learning: A deep reinforcement learning method for UAV autonomous motion planning in complex unknown environments
HU Zijian, GAO **aoguang, WAN Kaifang… - Chinese Journal of …, 2021 - Elsevier
Abstract Unmanned Aerial Vehicles (UAVs) play a vital role in military warfare. In a variety of
battlefield mission scenarios, UAVs are required to safely fly to designated locations without …
battlefield mission scenarios, UAVs are required to safely fly to designated locations without …
Disturbance-observer-based adaptive fuzzy tracking control for unmanned autonomous helicopter with flight boundary constraints
In this article, a disturbance-observer-based adaptive fuzzy tracking control scheme is
proposed for a medium-scale unmanned helicopter of six degrees of freedom in the …
proposed for a medium-scale unmanned helicopter of six degrees of freedom in the …
Post‐disaster assessment with unmanned aerial vehicles: A survey on practical implementations and research approaches
In this paper, we provide a review of the principal aspects related to search & rescue (SAR)
with unmanned aerial vehicles (UAVs), with particular interest in the phase of post‐disaster …
with unmanned aerial vehicles (UAVs), with particular interest in the phase of post‐disaster …
Deep reinforcement learning approach with multiple experience pools for UAV's autonomous motion planning in complex unknown environments
Z Hu, K Wan, X Gao, Y Zhai, Q Wang - Sensors, 2020 - mdpi.com
Autonomous motion planning (AMP) of unmanned aerial vehicles (UAVs) is aimed at
enabling a UAV to safely fly to the target without human intervention. Recently, several …
enabling a UAV to safely fly to the target without human intervention. Recently, several …
Autonomous navigation of UAV in foliage environment
This paper presents a navigation system that enables small-scale unmanned aerial vehicles
to navigate autonomously using a 2D laser range finder in foliage environment without GPS …
to navigate autonomously using a 2D laser range finder in foliage environment without GPS …
LIDAR-based stabilization, navigation and localization for UAVs operating in dark indoor environments
Autonomous operation of UAVs in a closed environment requires precise and reliable pose
estimate that can stabilize the UAV without using external localization systems such as …
estimate that can stabilize the UAV without using external localization systems such as …
Identifying species and monitoring understorey from UAS-derived data: A literature review and future directions
Understorey vegetation plays an important role in many ecosystems, yet identifying and
monitoring understorey vegetation through remote sensing has proved a challenge for …
monitoring understorey vegetation through remote sensing has proved a challenge for …