An adaptive neighborhood-based search enhanced artificial ecosystem optimizer for UCAV path planning
Y Niu, X Yan, Y Wang, Y Niu - Expert Systems with Applications, 2022 - Elsevier
Path planning is an essential component of the unmanned combat aerial vehicle (UCAV)
system and is the precondition for achieving tasks such as aerial reconnaissance …
system and is the precondition for achieving tasks such as aerial reconnaissance …
[HTML][HTML] First successful rescue of a lost person using the human detection system: A case study from Beskid Niski (SE Poland)
T Niedzielski, M Jurecka, B Miziński, W Pawul, T Motyl - Remote Sensing, 2021 - mdpi.com
Recent advances in search and rescue methods include the use of unmanned aerial
vehicles (UAVs), to carry out aerial monitoring of terrains to spot lost individuals. To date …
vehicles (UAVs), to carry out aerial monitoring of terrains to spot lost individuals. To date …
PETNet: A YOLO-based prior enhanced transformer network for aerial image detection
T Wang, Z Ma, T Yang, S Zou - Neurocomputing, 2023 - Elsevier
Unmanned aerial vehicles (UAVs) have been applied to inspect in various scenarios due to
their high efficiency, low cost, and excellent mobility. However, the objects in aerial images …
their high efficiency, low cost, and excellent mobility. However, the objects in aerial images …
MOBDrone: A drone video dataset for man overboard rescue
Abstract Modern Unmanned Aerial Vehicles (UAV) equipped with cameras can play an
essential role in speeding up the identification and rescue of people who have fallen …
essential role in speeding up the identification and rescue of people who have fallen …
Search and rescue with airborne optical sectioning
In the future, rescuing lost, ill or injured persons will increasingly be carried out by
autonomous drones. However, discovering humans in densely forested terrain is …
autonomous drones. However, discovering humans in densely forested terrain is …
[HTML][HTML] An adaptive multi-level quantization-based reinforcement learning model for enhancing UAV landing on moving targets
The autonomous landing of an unmanned aerial vehicle (UAV) on a moving platform is an
essential functionality in various UAV-based applications. It can be added to a teleoperation …
essential functionality in various UAV-based applications. It can be added to a teleoperation …
A comparison between various human detectors and CNN-based feature extractors for human activity recognition via aerial captured video sequences
Human detection and activity recognition (HDAR) in videos plays an important role in
various real-life applications. Recently, object detection methods have been used to detect …
various real-life applications. Recently, object detection methods have been used to detect …
[HTML][HTML] Enhancing water safety: exploring recent technological approaches for drowning detection
Drowning poses a significant threat, resulting in unexpected injuries and fatalities. To
promote water sports activities, it is crucial to develop surveillance systems that enhance …
promote water sports activities, it is crucial to develop surveillance systems that enhance …
Tracking‐DOSeqSLAM: A dynamic sequence‐based visual place recognition paradigm
Simultaneous localization and mapping (SLAM) refers to a process that permits a mobile
robot to build up a map of the environment and, at the same time, to use it to compute its …
robot to build up a map of the environment and, at the same time, to use it to compute its …
Low-power deep learning edge computing platform for resource constrained lightweight compact UAVs
Abstract Unmanned Aerial Vehicles (UAVs), which can operate autonomously in dynamic
and complex environments, are becoming increasingly common. Deep learning techniques …
and complex environments, are becoming increasingly common. Deep learning techniques …