UAV Tomographic Synthetic Aperture Radar for Landmine Detection

Almutiry, Muhannad

doi:10.48084/etasr.3611

Cited by 6 publications

(4 citation statements)

References 35 publications

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“…e only limitation arises when the vehicle to be tracked was in heavy traffic. A similar approach was used in [23,24] with slightly tough weather conditions and a complex data set, but the efficiency was slightly low, around 90%.…”

Section: Related Techniquesmentioning

confidence: 99%

UAV with Vision to Recognise Vehicle Number Plates

Khani

Noman

Rahim

et al. 2022

Mobile Information Systems

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The trend of using Unmanned Aerial Vehicles (UAVs) in industries is rapidly growing. Nowadays, they are used in many applications, from surveillance to disaster assistance. Almost all applications of UAVs require cameras either to perform specific vision tasks such as facial recognition and vehicle number plate identification or to avoid obstacles in the flight path of the UAV. The most emerging application of UAVs today is to provide security and surveillance, and they are mostly used for vehicle number identification. Typical Automatic Number Plate Recognition (ANPR) uses static high-resolution cameras mounted in specific places to identify the vehicle’s number plates. Identifying the characters on the number plate becomes a very crucial task when the number plate is at an arbitrary angle to the drone camera. The camera gimble angle, the height of the UAV from the vehicle, and the relative speed of the UAV w.r.t vehicle play a very key role in identifying the vehicle license plate correctly. This study explains how Automatic Number Plate Recognition (ANPR) is performed on real-time images using MATLAB with the help of a UAV to analyze the effect of the above-mentioned key factors. The process is completed in three steps: collecting visual data from the drone, processing that data, and obtaining the recognized number plate.

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Section: Related Techniquesmentioning

confidence: 99%

UAV with Vision to Recognise Vehicle Number Plates

Khani

Noman

Rahim

et al. 2022

Mobile Information Systems

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“…Radiolocation services are defined as radio-determination services for the purpose of position determination. Radiodetermination is defined as the determination of the position, velocity, and/or other characteristics of an object by the propagation properties of radio waves [9,10]. The airborne radar [11], is a radar on a plane used to detect objects moving at very low speeds whereas ground radar is used for fixed, mobile, or transportable operations.…”

Section: Radiolocationmentioning

confidence: 99%

Intersystem Interference Study between Medical Capsule Camera Endoscopy and Other Systems in Co-Channel and Adjacent Bands

Shamsan

Almuhanna

2021

Eng. Technol. Appl. Sci. Res.

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The Ultra-High Frequency (UHF) band occupies a very vital region in the spectrum and is becoming very congested because many applications use it. The capsule camera (CapCam), an ultra-low power wireless device, is a Short Range Device (SRD) application that utilizes the UHF spectrum for medical endoscopy and it is designed to operate at the 430-440MHz frequency band range. This study will focus on the interference between the CapCam and other systems operating in the frequency of 435MHz and adjacent bands. Other systems that can operate in this band include non-specific SRD and radiolocation services such as airborne radar and ground radar stations. The Minimum Coupling Loss (MCL) method is implemented in this study. The findings showed that restricted distances between the CapCam and other services must be considered when the CapCam is in use. This should be done to avoid harmful interference from the CapCam especially in the case of radiolocation services.

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“…During the recent years, the field of photogrammetry has seen a rise of interest in the use of Unmanned Aerial Vehicles (UAVs), despite that their first uses were for military purposes [1][2]. Over time, the legal system embraced the use of photographs as permissible evidence.…”

Section: Introductionmentioning

confidence: 99%

3D Indoor Crime Scene Reconstruction from Micro UAV Photogrammetry Technique

Sazaly,

Mohd Ariff,

Razali

2023

Eng. Technol. Appl. Sci. Res.

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The application of micro Unmanned Aerial Vehicles (UAVs) in photogrammetry, particularly within the realm of forensic investigation represents a relatively novel approach and has gained increased attention. By measuring the distances and positions of the scene’s components, it is feasible to document and visualize the scene using the photographs that were taken for the purpose of assisting investigators. Capturing accurate crime scene data within a short time frame is always a challenge. Conventionally, photographs were used to document the scene, but the technical qualities of the photographs depended on the skill of the present forensic personnel. The use of 3-Dimensional (3D) photogrammetry enables the production of highly realistic and detailed 3D documentation of a given scene. As this technique involves capturing a series of photographs, it can be a time-consuming process. Therefore, this study aims to explore an alternative approach that enables the rapid acquisition of the scene while preserving the intricate details, thus ensuring efficiency without compromising the accuracy of the resulting documentation. The study employs a methodological approach wherein data are collected from a simulated crime scene situated within a confined and hard-to-reach area. The data collection is facilitated through the utilization of micro UAVs. The acquired data are then processed utilizing photogrammetry software, leading to the generation of a 3D model point cloud. The collected data will be subjected to a comparative analysis with data generated using a Terrestrial Laser Scanner (TLS) as a reference, alongside Vernier Calliper (VC) measurements. The findings indicate that the Root Mean Square Error (RMSE) of the integrated point clouds from TLS and micro UAVs compared to the conventional method is approximately ±0.217 cm. It can be deduced that the integration of data derived from micro UAVs and TLS in forensic photogrammetry within a confined crime scene is viable and yields a high-precision 3D model point cloud.

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UAV Tomographic Synthetic Aperture Radar for Landmine Detection

Cited by 6 publications

References 35 publications

UAV with Vision to Recognise Vehicle Number Plates

UAV with Vision to Recognise Vehicle Number Plates

Intersystem Interference Study between Medical Capsule Camera Endoscopy and Other Systems in Co-Channel and Adjacent Bands

3D Indoor Crime Scene Reconstruction from Micro UAV Photogrammetry Technique

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