Published: Dec. 22, 2024
Language: Английский
Journal of Safety and Sustainability, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 1, 2025
Language: Английский
Citations
1
Journal of Sensor and Actuator Networks, Journal Year: 2024, Volume and Issue: 13(6), P. 81 - 81
Published: Nov. 28, 2024
Unmanned aerial vehicles (UAVs) and unmanned ground (UGVs) have rapidly evolved, becoming integral to various applications such as environmental monitoring, disaster response, precision agriculture. This paper provides a comprehensive review of the advancements challenges in UAV-UGV collaboration its potential applications. These systems offer enhanced situational awareness operational efficiency, enabling complex tasks that are beyond capabilities individual by leveraging complementary strengths UAVs UGVs. Key areas explored this include multi-UAV multi-UGV systems, collaborative operations, communication coordination mechanisms support these efforts. Furthermore, discusses limitations, future research directions, considers issues computational constraints, network instability, adaptability. The also detailed analysis how impact effectiveness collaboration.
Language: Английский
Citations
5
IECE transactions on intelligent systematics., Journal Year: 2024, Volume and Issue: 1(2), P. 69 - 78
Published: Sept. 23, 2024
A Novel simulation framework using self-governing drones is used to locate and reduce unauthorized in interior environments. The recommended method uses Received Signal Strength Indicator (RSSI) identify an alien agent drone, which has different signal characteristics than the approved swarm of UAVs. Real-time threat detection possible with this technology. After detecting organizes itself encircle besiege it for 10 seconds, making inert before returning their original positions. This unique solution RSSI quickly mitigate enclosed area concerns. It provides a reliable effective indoor drone security solution. results show that approach works delicate environments including warehouses, laboratories, other facilities. study advances unmanned aerial system (UAS) autonomous intelligence procedures.
Language: Английский
Citations
4
Nondestructive Testing And Evaluation, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 68
Published: Nov. 22, 2024
With the advancement and expansion of power system technology, ensuring safe stable operation transmission lines has become increasingly crucial. Traditional manual inspection methods often suffer from low efficiency high risks. In recent years, rapid development unmanned aerial vehicle (UAV) technology provided a new solution for inspection. UAV offers advantages such as flexibility, wide coverage, relatively overall costs, effectively improving efficiency, reducing mitigating personnel safety A comprehensive review current state inspections in systems is this study, introducing main sensing technologies applications inspection, including visible light cameras, infrared thermal imaging, depth compound eye radar, X-rays, ultrasonic sensors. It also discusses challenges faced by systems, complexity data processing, lack automation, absence regulatory frameworks. Furthermore, it put forward future trends, multi-sensor fusion, edge computing, cloud computing centres, multi-UAV collaboration, cooperation various clusters. This work aims to serve reference research application systems.
Language: Английский
Citations
4
Ain Shams Engineering Journal, Journal Year: 2025, Volume and Issue: 16(3), P. 103301 - 103301
Published: Feb. 6, 2025
Language: Английский
Citations
0
Drones, Journal Year: 2025, Volume and Issue: 9(2), P. 133 - 133
Published: Feb. 12, 2025
This research aims to present an analysis of the behavior multiple Remotely Piloted Aircraft Systems (multi-RPAS) flying in formation, a key aspect advanced aerial mobility aerospace industry. involves positioning and relative distance three dimensions (3D) two RPAS, taking into account their operational requirements limitations, recognizing operating states, addressing potential situations encountered during formation flight. For this study, “Conformance Fault Injection—CoFI” methodology is employed. guides user towards comprehensive understanding system enables creation set finite state machines representing system’s under study. Consequently, models for multi-RPAS are presented. By applying CoFI inject faults operation predict anomalous situations, both normal abnormal models, as well flight outlined. expected facilitate identification multi-RPAS, thereby reducing associated risks.
Language: Английский
Citations
0
Drones, Journal Year: 2025, Volume and Issue: 9(3), P. 194 - 194
Published: March 6, 2025
Unmanned aerial vehicles (UAVs) are widely employed across diverse fields due to their flexibility and scalability. However, achieving full autonomy remains a challenge as human intervention is still required in most scenarios. Motion planning, cornerstone of UAV autonomous navigation, has garnered extensive attention, with numerous advanced algorithms having been proposed recent years. This paper provides comprehensive overview motion planning frameworks, systematically addressing three key components: map representation, path trajectory optimization. Map representation establishes environmental awareness, balances efficiency safety generation, optimization refines paths into feasible, energy-efficient motions. Unlike prior reviews focused on specific techniques, this study offers an integrated perspective, helping researchers understand the overall framework advancements planning. Additionally, emerging trends potential strategies discussed improve efficiency, adaptability, robustness UAVs meet increasingly complex mission requirements.
Language: Английский
Citations
0
Lecture notes in computer science, Journal Year: 2025, Volume and Issue: unknown, P. 274 - 283
Published: Jan. 1, 2025
Language: Английский
Citations
0
Drones, Journal Year: 2024, Volume and Issue: 8(10), P. 574 - 574
Published: Oct. 11, 2024
Unmanned aerial vehicles (UAVs) are utilized for wireless communication support of Internet Intelligent Vehicles (IoVs). (IVs) need vehicle-to-vehicle (V2V) and vehicle-to-everything (V2X) real-time perception knowledge exchange dynamic environment modeling safe autonomous driving mission accomplishment. UAVs autonomously navigate through dense urban areas to provide line-of-sight (LoS) links IoVs. Real-time UAV trajectory design is required minimum energy consumption maximum channel performance. However, this multidisciplinary research including (1) dynamic-aware kinematic (kinodynamic) planning by considering UAVs’ motion nonholonomic constraints; (2) performance improvement in future networks (i.e., beyond 5G 6G) that limited beamforming LoS with the aid reconfigurable intelligent surfaces (RISs); (3) obstacle-free crash avoidance 3D optimization obstacles paths convex programming. Modeling solving multilateral problem computationally prohibitive unless extensive computational overhead processing costs imposed. To pave path efficient yet feasible optimization, paper presents kinodynamic modeling. Then, it proposes a developed linear models. The optimality smoothness improved utilizing model predictive control quadratic state feedback control. Simulation results provided validate methodology.
Language: Английский
Citations
1
Advances in hospitality, tourism and the services industry (AHTSI) book series, Journal Year: 2024, Volume and Issue: unknown, P. 211 - 232
Published: Nov. 1, 2024
This chapter examines the multifaceted impacts of AI adoption in natural reserves, exploring both benefits and challenges. On positive side, AI-powered tools can assist real-time monitoring wildlife populations, habitat conditions, visitor numbers, enabling timely data-driven decision-making for conservation. AI-based personalization experiences also improve engagement education. However, relying on algorithms raises issues related to data privacy, algorithmic bias, potential disruption ecosystems through excessive interventions. Through a review academic literature, this provides balanced analysis advantages disadvantages integration reserves. The findings aim guide policymakers, conservation practitioners, technology researchers navigating complex landscape AI-enabled nature
Language: Английский
Citations
1