Image-based obstacle detection methods for the safe navigation of unmanned vehicles: A review

S Badrloo, M Varshosaz, S Pirasteh, J Li - Remote Sensing, 2022 - mdpi.com
Mobile robots lack a driver or a pilot and, thus, should be able to detect obstacles
autonomously. This paper reviews various image-based obstacle detection techniques …

An overview of drone applications in the construction industry

HW Choi, HJ Kim, SK Kim, WS Na - Drones, 2023 - mdpi.com
The integration of drones in the construction industry has ushered in a new era of efficiency,
accuracy, and safety throughout the various phases of construction projects. This paper …

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 …

A vision-based approach to UAV detection and tracking in cooperative applications

R Opromolla, G Fasano, D Accardo - Sensors, 2018 - mdpi.com
This paper presents a visual-based approach that allows an Unmanned Aerial Vehicle
(UAV) to detect and track a cooperative flying vehicle autonomously using a monocular …

SafeUAV: Learning to estimate depth and safe landing areas for UAVs from synthetic data

A Marcu, D Costea, V Licaret, M Pîrvu… - Proceedings of the …, 2018 - openaccess.thecvf.com
The emergence of relatively low cost UAVs has prompted a global concern about the safe
operation of such devices. Since most of them can'autonomously'fly by means of GPS way …

Visual SLAM with a RGB-D camera on a quadrotor UAV using on-board processing

WG Aguilar, GA Rodríguez, L Álvarez… - … : 14th International Work …, 2017 - Springer
In this article, we present a high accuracy system for real-time localization and mapping
using a RGB-D camera. With the use the RGB-D sensor Microsoft Kinect and the small and …

Hardware Implementation of Ultra‐Fast Obstacle Avoidance Based on a Single Photonic Spiking Neuron

S Gao, S Xiang, Z Song, Y Han, Y Zhang… - Laser & Photonics …, 2023 - Wiley Online Library
Visual obstacle avoidance is widely applied to unmanned aerial vehicles (UAVs) and mobile
robot fields. A simple system architecture, low power consumption, optimized processing …

[HTML][HTML] A Review of UAV Path-Planning Algorithms and Obstacle Avoidance Methods for Remote Sensing Applications

D Debnath, F Vanegas, J Sandino, AF Hawary… - Remote Sensing, 2024 - mdpi.com
The rapid development of uncrewed aerial vehicles (UAVs) has significantly increased their
usefulness in various fields, particularly in remote sensing. This paper provides a …

Developing of a video-based model for UAV autonomous navigation

WG Aguilar, VS Salcedo, DS Sandoval… - … Neuroscience: First Latin …, 2017 - Springer
The use of unmanned aerial vehicles (UAVs) has driven the research and development of
multiple applications. Autonomous and cognitive navigation in remote environments …

Pedestrian detection for UAVs using cascade classifiers and saliency maps

WG Aguilar, MA Luna, JF Moya, V Abad, H Ruiz… - … : 14th International Work …, 2017 - Springer
In this paper, we proposed algorithm and dataset for pedestrian detection focused on
applications with micro multi rotors UAV (Unmanned Aerial Vehicles). For training dataset …