[HTML][HTML] Unmanned aerial systems for photogrammetry and remote sensing: A review
I Colomina, P Molina - ISPRS Journal of photogrammetry and remote …, 2014 - Elsevier
We discuss the evolution and state-of-the-art of the use of Unmanned Aerial Systems (UAS)
in the field of Photogrammetry and Remote Sensing (PaRS). UAS, Remotely-Piloted Aerial …
in the field of Photogrammetry and Remote Sensing (PaRS). UAS, Remotely-Piloted Aerial …
Survey of advances in guidance, navigation, and control of unmanned rotorcraft systems
F Kendoul - Journal of Field Robotics, 2012 - Wiley Online Library
Recently, there has been growing interest in developing unmanned aircraft systems (UAS)
with advanced onboard autonomous capabilities. This paper describes the current state of …
with advanced onboard autonomous capabilities. This paper describes the current state of …
Badgr: An autonomous self-supervised learning-based navigation system
Mobile robot navigation is typically regarded as a geometric problem, in which the robot's
objective is to perceive the geometry of the environment in order to plan collision-free paths …
objective is to perceive the geometry of the environment in order to plan collision-free paths …
Learning to fly by crashing
How do you learn to navigate an Unmanned Aerial Vehicle (UAV) and avoid obstacles? One
approach is to use a small dataset collected by human experts: however, high capacity …
approach is to use a small dataset collected by human experts: however, high capacity …
Toward low-flying autonomous MAV trail navigation using deep neural networks for environmental awareness
N Smolyanskiy, A Kamenev, J Smith… - 2017 IEEE/RSJ …, 2017 - ieeexplore.ieee.org
We present a micro aerial vehicle (MAV) system, built with inexpensive off-the-shelf
hardware, for autonomously following trails in unstructured, outdoor environments such as …
hardware, for autonomously following trails in unstructured, outdoor environments such as …
Sampling-based path planning for UAV collision avoidance
Y Lin, S Saripalli - IEEE Transactions on Intelligent …, 2017 - ieeexplore.ieee.org
The ability to avoid collisions with moving obstacles, such as commercial aircraft is critical to
the safe operation of unmanned aerial vehicles (UAVs) and other air traffic. This paper …
the safe operation of unmanned aerial vehicles (UAVs) and other air traffic. This paper …
UAV path planning using artificial potential field method updated by optimal control theory
Y Chen, G Luo, Y Mei, J Yu, X Su - International Journal of Systems …, 2016 - Taylor & Francis
The unmanned aerial vehicle (UAV) path planning problem is an important assignment in
the UAV mission planning. Based on the artificial potential field (APF) UAV path planning …
the UAV mission planning. Based on the artificial potential field (APF) UAV path planning …
Enhanced discrete particle swarm optimization path planning for UAV vision-based surface inspection
In built infrastructure monitoring, an efficient path planning algorithm is essential for robotic
inspection of large surfaces using computer vision. In this work, we first formulate the …
inspection of large surfaces using computer vision. In this work, we first formulate the …
Obstacle detection and collision avoidance for a UAV with complementary low-cost sensors
N Gageik, P Benz, S Montenegro - IEEE Access, 2015 - ieeexplore.ieee.org
This paper demonstrates an innovative and simple solution for obstacle detection and
collision avoidance of unmanned aerial vehicles (UAVs) optimized for and evaluated with …
collision avoidance of unmanned aerial vehicles (UAVs) optimized for and evaluated with …
PIXHAWK: A micro aerial vehicle design for autonomous flight using onboard computer vision
We describe a novel quadrotor Micro Air Vehicle (MAV) system that is designed to use
computer vision algorithms within the flight control loop. The main contribution is a MAV …
computer vision algorithms within the flight control loop. The main contribution is a MAV …