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 comprehensive survey on non‐cooperative collision avoidance for micro aerial vehicles: Sensing and obstacle detection
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 …
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 …
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 …
agriculture, such as tree plantations. Due to limited intelligence, these UAVs can only …
Computer vision in autonomous unmanned aerial vehicles—a systematic mapping study
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) …
activities, helping them in their daily lives. In this sense, unmanned aerial vehicles (UAVs) …
Towards monocular vision-based autonomous flight through deep reinforcement learning
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 …
monocular camera using deep reinforcement learning. The proposed method is composed …
Autonomous UAV trail navigation with obstacle avoidance using deep neural networks
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 …
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 …
UAV via discrete-time sliding mode control (DSMC). Firstly, the linear extrapolation method …
Single-view distance-estimation-based formation control of robotic swarms
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 …
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 …
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 …
developments in the field, such as the use of quadrotors to grasp, manipulate, and transport …