A review of GNSS-independent UAV navigation techniques

N Gyagenda, JV Hatilima, H Roth, V Zhmud - Robotics and Autonomous …, 2022 - Elsevier
Abstract Application of UAVs (Unmanned Aerial Vehicles) in environments devoid of GNSS
(Global Navigation Satellite System) service has motivated research into GNSS …

Survey on computer vision for UAVs: Current developments and trends

C Kanellakis, G Nikolakopoulos - Journal of Intelligent & Robotic Systems, 2017 - Springer
During last decade the scientific research on Unmanned Aerial Vehicless (UAVs) increased
spectacularly and led to the design of multiple types of aerial platforms. The major challenge …

Unmanned aircraft capture and control via GPS spoofing

AJ Kerns, DP Shepard, JA Bhatti… - Journal of field …, 2014 - Wiley Online Library
The theory and practice of unmanned aerial vehicle (UAV) capture and control via Global
Positioning System (GPS) signal spoofing are analyzed and demonstrated. The goal of this …

A robust and modular multi-sensor fusion approach applied to MAV navigation

S Lynen, MW Achtelik, S Weiss, M Chli… - 2013 IEEE/RSJ …, 2013 - ieeexplore.ieee.org
It has been long known that fusing information from multiple sensors for robot navigation
results in increased robustness and accuracy. However, accurate calibration of the sensor …

Rotorigami: A rotary origami protective system for robotic rotorcraft

P Sareh, P Chermprayong, M Emmanuelli… - Science Robotics, 2018 - science.org
Applications of aerial robots are progressively expanding into complex urban and natural
environments. Despite remarkable advancements in the field, robotic rotorcraft is still …

Learned visual navigation for under-canopy agricultural robots

AN Sivakumar, S Modi, MV Gasparino, C Ellis… - arxiv preprint arxiv …, 2021 - arxiv.org
We describe a system for visually guided autonomous navigation of under-canopy farm
robots. Low-cost under-canopy robots can drive between crop rows under the plant canopy …

RL-AKF: An adaptive kalman filter navigation algorithm based on reinforcement learning for ground vehicles

X Gao, H Luo, B Ning, F Zhao, L Bao, Y Gong, Y **ao… - Remote Sensing, 2020 - mdpi.com
Kalman filter is a commonly used method in the Global Navigation Satellite System
(GNSS)/Inertial Navigation System (INS) integrated navigation system, in which the process …

Under canopy light detection and ranging‐based autonomous navigation

VAH Higuti, AEB Velasquez… - Journal of Field …, 2019 - Wiley Online Library
This paper describes a light detection and ranging (LiDAR)‐based autonomous navigation
system for an ultralightweight ground robot in agricultural fields. The system is designed for …

Integrated path planning and trajectory tracking control for quadrotor UAVs with obstacle avoidance in the presence of environmental and systematic uncertainties …

B Wang, Y Zhang, W Zhang - Aerospace Science and Technology, 2022 - Elsevier
This paper proposes an innovative integrated path planning and trajectory tracking control
framework for a quadrotor unmanned aerial vehicle (UAV) in the presence of environmental …

A deep CNN-based framework for enhanced aerial imagery registration with applications to UAV geolocalization

A Nassar, K Amer, R ElHakim… - Proceedings of the …, 2018 - openaccess.thecvf.com
In this paper we present a novel framework for geolocalizing Unmanned Aerial Vehicles
(UAVs) using only their onboard camera. The framework exploits the abundance of satellite …