Smart cities: A survey on data management, security, and enabling technologies

A Gharaibeh, MA Salahuddin… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Integrating the various embedded devices and systems in our environment enables an
Internet of Things (IoT) for a smart city. The IoT will generate tremendous amount of data that …

Unmanned aerial vehicles using machine learning for autonomous flight; state-of-the-art

SY Choi, D Cha - Advanced Robotics, 2019 - Taylor & Francis
In recent years, since researchers began to study on Unmanned Aerial Vehicles (UAVs),
UAVs have been integrated into today's everyday life, including civilian area and military …

Autonomous MAV flight in indoor environments using single image perspective cues

C Bills, J Chen, A Saxena - 2011 IEEE International …, 2011 - ieeexplore.ieee.org
We consider the problem of autonomously flying Miniature Aerial Vehicles (MAVs) in indoor
environments such as home and office buildings. The primary long range sensor in these …

Power transmission line fault detection and diagnosis based on artificial intelligence approach and its development in uav: A review

SY Wong, CWC Choe, HH Goh, YW Low… - Arabian Journal for …, 2021 - Springer
This paper provides a systematic, comprehensive, up-to-date study of the various artificial
intelligence (AI) techniques on the detection and classification of faults on power …

Video object tracking in the compressed domain using spatio-temporal Markov random fields

SH Khatoonabadi, IV Bajic - IEEE transactions on image …, 2012 - ieeexplore.ieee.org
Despite the recent progress in both pixel-domain and compressed-domain video object
tracking, the need for a tracking framework with both reasonable accuracy and reasonable …

Design and implementation of a UAV-based airborne computing platform for computer vision and machine learning applications

A Douklias, L Karagiannidis, F Misichroni, A Amditis - Sensors, 2022 - mdpi.com
Visual sensing of the environment is crucial for flying an unmanned aerial vehicle (UAV) and
is a centerpiece of many related applications. The ability to run computer vision and …

UAV altitude estimation by mixed stereoscopic vision

D Eynard, P Vasseur, C Demonceaux… - 2010 IEEE/RSJ …, 2010 - ieeexplore.ieee.org
Altitude is one of the most important parameters to be known for an Unmanned Aerial
Vehicle (UAV) especially during critical maneuvers such as landing or steady flight. In this …

Evaluation of altitude sensors for a crop spraying drone

M Hentschke, E Pignaton de Freitas, CH Hennig… - Drones, 2018 - mdpi.com
This work aims to study and compare different range finders applied to altitude sensing on a
rotating wings UAV. The specific application is the altitude maintenance for the fluid …

Robust autonomous landing of UAVs in non-cooperative environments based on comprehensive terrain understanding

L Chen, Y Xiao, X Yuan, Y Zhang, J Zhu - Science China Information …, 2022 - Springer
Autonomous landing in non-cooperative environments is a key step toward full autonomy of
unmanned aerial vehicles (UAVs). Existing studies have addressed this problem by finding …

[图书][B] Unsupervised feature learning via sparse hierarchical representations

H Lee - 2010 - search.proquest.com
Abstract Machine learning has proved a powerful tool for artificial intelligence and data
mining problems. However, its success has usually relied on having a good feature …