Overview of recent endeavors on personal aerial vehicles: A focus on the US and Europe led research activities

Y Liu, M Kreimeier, E Stumpf, Y Zhou, H Liu - Progress in Aerospace …, 2017 - Elsevier
Personal aerial vehicles, an innovative transport mode to bridge the niche between
scheduled airliners and ground transport, are seen by aviation researchers and engineers …

Vision-based detection and distance estimation of micro unmanned aerial vehicles

F Gökçe, G Üçoluk, E Şahin, S Kalkan - Sensors, 2015 - mdpi.com
Detection and distance estimation of micro unmanned aerial vehicles (mUAVs) is crucial for
(i) the detection of intruder mUAVs in protected environments;(ii) sense and avoid purposes …

[HTML][HTML] Visual-based obstacle detection and tracking, and conflict detection for small UAS sense and avoid

R Opromolla, G Fasano - Aerospace Science and Technology, 2021 - Elsevier
This paper proposes an original approach for visual-based obstacle detection and tracking,
and conflict detection, suitable to endow small Unmanned Aircraft Systems with non …

Robust real-time vision-based aircraft tracking from unmanned aerial vehicles

C Fu, A Carrio, MA Olivares-Mendez… - … on robotics and …, 2014 - ieeexplore.ieee.org
Aircraft tracking plays a key and important role in the Sense-and-Avoid system of Unmanned
Aerial Vehicles (UAVs). This paper presents a novel robust visual tracking algorithm for …

Airborne vision‐based collision‐detection system

J Lai, L Mejias, JJ Ford - Journal of Field Robotics, 2011 - Wiley Online Library
Abstract Machine vision represents a particularly attractive solution for sensing and
detecting potential collision‐course targets due to the relatively low cost, size, weight, and …

Vision-based detection and tracking of aerial targets for UAV collision avoidance

L Mejias, S McNamara, J Lai… - 2010 IEEE/RSJ …, 2010 - ieeexplore.ieee.org
Machine vision represents a particularly attractive solution for sensing and detecting
potential collision-course targets due to the relatively low cost, size, weight, and power …

Unmanned aerial vehicle obstacle detection and avoidance

PM Kanade, CW Sweet III, JB Gehlhaar - US Patent 10,019,907, 2018 - Google Patents
Apparatuses and methods for detecting an obstacle in a path of an Unmanned Aerial
Vehicle (UAV) are described herein, including, but not limited to, receiving data from a single …

Learning to detect aircraft for long-range vision-based sense-and-avoid systems

J James, JJ Ford, TL Molloy - IEEE Robotics and Automation …, 2018 - ieeexplore.ieee.org
The commercial use of unmanned aerial vehicles (UAVs) would be enhanced by an ability
to sense and avoid potential mid-air collision threats. In this letter, we propose a new …

AVOIDDS: aircraft vision-based intruder detection dataset and simulator

E Smyers, S Katz, A Corso… - Advances in Neural …, 2024 - proceedings.neurips.cc
Designing robust machine learning systems remains an open problem, and there is a need
for benchmark problems that cover both environmental changes and evaluation on a …

AirTrack: Onboard deep learning framework for long-range aircraft detection and tracking

S Ghosh, J Patrikar, B Moon… - … on Robotics and …, 2023 - ieeexplore.ieee.org
Detect-and-Avoid (DAA) capabilities are critical for safe operations of unmanned aircraft
systems (UAS). This paper introduces, AirTrack, a real-time vision-only detect and tracking …