Objective: This study was designed to develop methods for evaluating the gaze behaviors of spotters during air-to-ground search and to compare field-derived measures with previous lab results. Secondary aims were to assess adherence to a prescribed scan path, evaluate search effectiveness, and determine the predictors of task success.
Background: Crashed aircraft must be located quickly to minimize loss of life, often requiring visual search from the air.
Method: Eye movements were measured in 10 volunteer spotters while they searched from the air for ground targets. Visual acuity, contrast levels, and performance on a lab-based search task were also measured.
Results: Results were similar to those of previous lab-based studies of air-to-ground search. Task success could be predicted best from a combination of gaze and laboratory variables, and as in previous research, experience was not one of them.
Conclusions: In both lab and field research, performance is poor. Improvements in air search and rescue success will depend upon improvements in training, the refinement of scan tactics, changes to the task methods or environment, or modifications to parameters of the search exercise.
Application: Spotters were unable to reliably search their assigned area, which has implications for the current search training program and in-the-air protocol.
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http://dx.doi.org/10.1518/001872007X215746 | DOI Listing |
Sensors (Basel)
October 2024
Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian 116024, China.
In this paper, we present a novel method to enhance the sum-rate effectiveness in full-duplex unmanned aerial vehicle (UAV)-assisted communication networks. Existing approaches often couple uplink and downlink associations, resulting in suboptimal performance, particularly in dynamic environments where user demands and network conditions are unpredictable. To overcome these limitations, we propose a decoupling of uplink and downlink associations for ground-based users (GBUs), significantly improving network efficiency.
View Article and Find Full Text PDFFront Public Health
February 2023
Department of Military Biomedical Engineering, Fourth Military Medical University, Xi'an, China.
Objective: UAV-based multispectral detection and identification technology for ground injured human targets, is a novel and promising unmanned technology for public health and safety IoT applications, such as outdoor lost injured searching and battlefield casualty searching, and our previous research has demonstrated its feasibility. However, in practical applications, the searched human target always exhibits low target-background contrast relative to the vast and diverse surrounding environment, and the ground environment also shifts randomly during the UAV cruise process. These two key factors make it difficult to achieve highly robust, stable, and accurate recognition performance under the cross-scene situation.
View Article and Find Full Text PDFEntropy (Basel)
February 2022
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Energy Harvesting (EH) is a promising paradigm for 5G heterogeneous communication. EH-enabled Device-to-Device (D2D) communication can assist devices in overcoming the disadvantage of limited battery capacity and improving the Energy Efficiency (EE) by performing EH from ambient wireless signals. Although numerous research works have been conducted on EH-based D2D communication scenarios, the feature of EH-based D2D communication underlying Air-to-Ground (A2G) millimeter-Wave (mmWave) networks has not been fully studied.
View Article and Find Full Text PDFSensors (Basel)
October 2021
Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon 34129, Korea.
UAV equipped three-dimensional (3D) wireless networks can provide a solution for the requirements of 5G communications, such as enhanced Mobile Broadband (eMBB) and massive Machine Type Communications (mMTC). Especially, the introduction of an unmanned aerial vehicle (UAV) as a relay node can improve the connectivity, extend the terrestrial base station (BS) coverage and enhance the throughput by taking advantage of a strong air-to-ground line of sight (LOS) channel. In this paper, we consider the deployment and resource allocation of UAV relay network (URN) to maximize the throughput of user equipment (UE) within a cell, while guaranteeing a reliable transmission to UE outside the coverage of BS.
View Article and Find Full Text PDFSensors (Basel)
March 2021
Department of Electrical Engineering, Soonchunhyang University, Asan 31538, Korea.
An essential component for the autonomous flight or air-to-ground surveillance of a UAV is an object detection device. It must possess a high detection accuracy and requires real-time data processing to be employed for various tasks such as search and rescue, object tracking and disaster analysis. With the recent advancements in multimodal data-based object detection architectures, autonomous driving technology has significantly improved, and the latest algorithm has achieved an average precision of up to 96%.
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