UAVs-Based Mobile Radars for Real-Time Highways Surveillance

Rabahi, Fatima Zahra; Boudjit, Saâdi; Bemmoussat, ChemsEddine; Benaı̈ssa, M.

doi:10.1109/mass50613.2020.00020

Cited by 9 publications

(6 citation statements)

References 20 publications

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“…Several earlier works are present in terms of UAVs assisted VANETs such as UAV-assisted content distribution method [7], VRU protocol [8], low-cost UAV radar-based highway monitoring application [9], mobility and energy-aware joint optimization method for data routing in UAV-aided VANETs [10], multi-objective optimization [11], and 3D routing for UAV assisted VANETs [12]. To improve the effectiveness of communication in VANETs in earlier research several trust models are introduced in VANETs.…”

Section: Related Workmentioning

confidence: 99%

On the design of trust and mobility based evaluation for intelligent collaborative UAVs assisted VANETs

et al. 2023

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In recent days, vehicles usage and speed are highly increased that leads to an increase in energy consumption, delay, and overhead in the network. In this paper, a novel trajectory is introduced to achieve maximum reliability namely trust and mobility-based evaluation for intelligent collaborative (TMIC)-UAVs assisted VANETs. Reactive multipath greedy routing protocol (RMGR) is the hybrid routing protocol and it is the combination of ad hoc on-demand multipath distance vector (AOMDV) with greedy geographic forwarding (GGF) which is used for routing in frequently changeable network topology. To protect the network from malfunctions, effective trust evaluation (ETE) is performed by calculating the direct trust and indirect trust. Finally, to achieve effective communication among the UAVs, hybrid optimization is performed which is the combination of the genetic algorithm (GA) and the crow swarm optimization (CSO) algorithm. For validation network simulator (NS3) is used and the results show that this approach achieves high energy efficiency, delivery ratio, and reduction in delay when compared with the earlier research.

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Section: Related Workmentioning

confidence: 99%

On the design of trust and mobility based evaluation for intelligent collaborative UAVs assisted VANETs

et al. 2023

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“…nonetheless, there is a need to enhance the images in real-time to improve viewed crowed. The work of [15] presented UAVs-Based Mobile Radars for Real-Time Highways Surveillance. The presented work planned to utilize radar drones to monitor highways for traffic offenses and then send the data to a ground police patrol or a police data center.…”

Section: Related Workmentioning

confidence: 99%

FANET Experiment: Real-Time Surveillance Applications Connected to Image Processing System

Sadiq¹,

Abiodun²,

Zakariyya³

2022

Preprint

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The major goal of this paper is to use image enhancement techniques for enhancing and extracting data in FANET applications to improve the efficiency of surveillance. The proposed conceptual system design can improve the likelihood of FANET operations in oil pipeline surveillance, and sports and media coverage with the ultimate goal of providing efficient services to those who are interested. The system architecture model is based on current scientific principles and developing technologies. A FANET, which is capable of gathering image data from video-enabled drones, and an image processing system that permits data collection and analysis are the two primary components of the system. Based on the image processing technique, a proof of concept for efficient data extraction and enhancement in FANET situations and possible services is illustrated

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“…Even at the current low or medium levels of autonomy, RPAS have been adopted or proposed as a solution across a number of industries, often with the result of making jobs less costly for humans, allowing humans to focus their specialized skills and energy elsewhere, or otherwise improving mission efficiency and outcomes. Among recent applications are rice seed sowing [40], parasite and pest management [41], monitoring soil moisture [42], and general crop surveillance [43] in agriculture; crime analysis [44] and highway surveillance [45] in policing; disaster relief and hunting hurricanes [46], radiological mapping and threat assessment [47], fire detection [48] and firefighting [49], [50], reforestation [51], and mountain search and rescue missions [52] in environmental risk and preservation; and assorted other tasks like 3D mapping [53], [54], product delivery, and transportation [55], surveillance [56], navigating and mapping indoor environments [57], cleaning buildings [50], aerial imaging, large-scale area surveying [58], [59].…”

Section: Benefits and Challenges Of Current Aclmentioning

confidence: 99%

Survey of RPAS Autonomous Control Systems Using Artificial Intelligence

Aibin¹,

Aldiab

Bhavsar³

et al. 2021

IEEE Access

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In this survey, we look at the overall idea of Remotely Piloted Aircraft Systems (RPAS) and autonomous control, as well as RPAS infrastructure, levels of autonomy, and current benefits and difficulties in the field when utilizing Artificial Intelligence. While current remotely piloted aircraft systems have a manual pilot operator to provide double-layer security and safety, studies show that having RPAS with a fully autonomous vehicle at its centre could significantly improve decision-making and overall mission precision, accuracy, safety, and efficiency.

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UAVs-Based Mobile Radars for Real-Time Highways Surveillance

Cited by 9 publications

References 20 publications

On the design of trust and mobility based evaluation for intelligent collaborative UAVs assisted VANETs

On the design of trust and mobility based evaluation for intelligent collaborative UAVs assisted VANETs

FANET Experiment: Real-Time Surveillance Applications Connected to Image Processing System

Survey of RPAS Autonomous Control Systems Using Artificial Intelligence

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