Survey of computer vision algorithms and applications for unmanned aerial vehicles

A Al-Kaff, D Martin, F Garcia, A de la Escalera… - Expert Systems with …, 2018 - Elsevier
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 …

A comprehensive survey on non‐cooperative collision avoidance for micro aerial vehicles: Sensing and obstacle detection

L Lu, G Fasano, A Carrio, M Lei, H Bavle… - Journal of Field …, 2023 - Wiley Online Library
In recent years, unmanned aerial vehicles (UAVs) have been confirmed as a powerful tool
for countless applications in nearly every industry, in which collision avoidance plays a vital …

Deep learning-based monocular obstacle avoidance for unmanned aerial vehicle navigation in tree plantations: Faster region-based convolutional neural network …

HY Lee, HW Ho, Y Zhou - Journal of Intelligent & Robotic Systems, 2021 - Springer
Abstract In recent years, Unmanned Aerial Vehicles (UAVs) are widely utilized in precision
agriculture, such as tree plantations. Due to limited intelligence, these UAVs can only …

Computer vision in autonomous unmanned aerial vehicles—a systematic mapping study

LM Belmonte, R Morales, A Fernández-Caballero - Applied Sciences, 2019 - mdpi.com
Personal assistant robots provide novel technological solutions in order to monitor people's
activities, helping them in their daily lives. In this sense, unmanned aerial vehicles (UAVs) …

Towards monocular vision-based autonomous flight through deep reinforcement learning

M Kim, J Kim, M Jung, H Oh - Expert Systems with Applications, 2022 - Elsevier
This paper proposes an obstacle avoidance strategy for small multi-rotor drones with a
monocular camera using deep reinforcement learning. The proposed method is composed …

Autonomous UAV trail navigation with obstacle avoidance using deep neural networks

S Back, G Cho, J Oh, XT Tran, H Oh - Journal of Intelligent & Robotic …, 2020 - Springer
This paper proposes a vision-based bike trail following approach with obstacle avoidance
using CNN (Convolutional Neural Network) for the UAV (Unmanned Aerial Vehicle). The …

Discrete-time sliding mode control for a quadrotor UAV

JJ Xiong, G Zhang - Optik, 2016 - Elsevier
This paper mainly addresses the position and attitude tracking control for a small quadrotor
UAV via discrete-time sliding mode control (DSMC). Firstly, the linear extrapolation method …

Single-view distance-estimation-based formation control of robotic swarms

B Fidan, V Gazi, S Zhai, N Cen… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
This paper presents a practical formation motion control scheme for robotic swarms based
on single-view distance estimation, which is performed using a single nonsophisticated …

Brain computer interface system based on monocular vision and motor imagery for UAV indoor space target searching

TW Shi, GM Chang, JF Qiang, L Ren, WH Cui - … Signal Processing and …, 2023 - Elsevier
This paper puts forward a brain computer interface (BCI) system that integrates the
monocular vision navigation and decision subsystems to realize the indoor three …

Conditioned adaptive barrier-based double integral super twisting SMC for trajectory tracking of a quadcopter and hardware in loop using IGWO algorithm

A Mughees, I Ahmad, N Mughees… - Expert Systems with …, 2024 - Elsevier
Researchers working in the field of unmanned aerial vehicles are observing rapid
developments in the field, such as the use of quadrotors to grasp, manipulate, and transport …