UAV and obstacle sensing techniques–a perspective
N Aswini, E Krishna Kumar, SV Uma - International Journal of …, 2018 - emerald.com
Purpose The purpose of this paper is to provide an overview of unmanned aerial vehicle
(UAV) developments, types, the major functional components of UAV, challenges, and …
(UAV) developments, types, the major functional components of UAV, challenges, and …
A review of autonomous multi-agent quad-rotor control techniques and applications
PT Nathan, HAF Almurib… - 2011 4th International …, 2011 - ieeexplore.ieee.org
The theory analysis of this review is applied to the task of controlling and maneuvering the
quad-rotor. The singular four rotor flying vehicle is designed, optimized and applied to the …
quad-rotor. The singular four rotor flying vehicle is designed, optimized and applied to the …
Choosing the best embedded processing platform for on-board UAV image processing
D Hulens, J Verbeke, T Goedemé - … 2015, Berlin, Germany, March 11–14 …, 2016 - Springer
Nowadays, complex image processing algorithms are a necessity to make UAVs more
autonomous. Currently, the processing of images of the on-board camera is often performed …
autonomous. Currently, the processing of images of the on-board camera is often performed …
[HTML][HTML] MsFireD-Net: A lightweight and efficient convolutional neural network for flame and smoke segmentation
With the rising frequency and severity of wildfires across the globe, researchers have been
actively searching for a reliable solution for early-stage forest fire detection. In recent years …
actively searching for a reliable solution for early-stage forest fire detection. In recent years …
An efficient UAV navigation solution for confined but partially known indoor environments
This paper presents a robust and efficient navigation solution for a quadrotor UAV to perform
autonomous flight in a confined but partially known indoor environment. The main sensors …
autonomous flight in a confined but partially known indoor environment. The main sensors …
Towards a holistic performance evaluation framework for drone-based object detection
Recent advances in drone visual sensors and integration of complex vision algorithms,
facilitate further potential, entirely disrupting in a positive way their applications and …
facilitate further potential, entirely disrupting in a positive way their applications and …
Crop monitoring and automatic weed detection using drone
A Hafeez, V Tiwari, VK Verma, AS Ansari… - … , Power and Signal …, 2021 - ieeexplore.ieee.org
The effective farming means lossless farming which is a desired need of current scenario,
since the cost of farming is increasing continuously. Weeds are a big problem in agriculture …
since the cost of farming is increasing continuously. Weeds are a big problem in agriculture …
A review of the current unmanned aerial vehicle sprayer applications in precision agriculture
Highlights A comprehensive review of the current Unmanned Aerial Vehicle Sprayer in
precision agriculture applications. Comparison of manned and unmanned aerial sprayers in …
precision agriculture applications. Comparison of manned and unmanned aerial sprayers in …
Vision/INS integrated navigation system for poor vision navigation environments
Y Kim, DH Hwang - Sensors, 2016 - mdpi.com
In order to improve the performance of an inertial navigation system, many aiding sensors
can be used. Among these aiding sensors, a vision sensor is of particular note due to its …
can be used. Among these aiding sensors, a vision sensor is of particular note due to its …
Threshold-guided design and optimization for harris corner detector architecture
High-speed corner detection is an essential step in many real-time computer vision
applications, eg, object recognition, motion analysis, and stereo matching. Hardware …
applications, eg, object recognition, motion analysis, and stereo matching. Hardware …