Collaborative Mapping of Archaeological Sites Using Multiple UAVs

Patel, Manthan; Bandopadhyay, Aditya; Ahmad, Aamir

doi:10.1007/978-3-030-95892-3_5

Cited by 6 publications

(2 citation statements)

References 19 publications

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“…This technology also facilitates mission planning and oversight from a control station. In both civil and industrial sectors, drones have proven instrumental in process optimization and executing missions in challenging environments, some of which may be entirely inaccessible to humans [4,5].…”

Section: Introductionmentioning

confidence: 99%

Innovative Hybrid UAV Design, Development, and Manufacture for Forest Preservation and Acoustic Surveillance

Badea,

Frigioescu,

Dombrovschi

et al. 2024

Inventions

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The research described in this paper focuses on the development of an innovative unmanned aerial vehicle (UAV) tailored for a specific mission: detecting the acoustic signature emitted by chainsaws, identifying deforestation, and reporting its location for legality assessment. Various calculations were conducted to determine the optimal solution, resulting in the choice of a fixed-wing UAV. A comparative analysis between tri-rotor and quadcopter systems was performed, leading to the selection of the tri-rotor configuration. The primary objective of this study is to design an innovative hybrid UAV concept with key features including a fixed-wing design and integrated VTOL (vertical takeoff and landing) capability in the experimental model. The aircraft has been constructed using advanced materials such as fiber-reinforced polymer composites, manufactured using both conventional and advanced techniques like continuous fiber additive manufacturing and the use of a polymer matrix. Additionally, the aerodynamic configuration is optimized to achieve a cruise speed of approximately 50 km/h and a flight autonomy exceeding 3 h. The UAV has been equipped with payloads for mounting sensors to collect meteorological data, and crucially, the VTOL system has been optimized to vectorize thrust for improved performance during the transition from hover to cruise flight. This paper details the entire manufacturing and assembly process of the drone, covering both the structural framework and associated electrical installations. A dedicated sound detection system is incorporated into the drone to identify chainsaw noise, with the aim of preventing deforestation.

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Section: Introductionmentioning

confidence: 99%

Innovative Hybrid UAV Design, Development, and Manufacture for Forest Preservation and Acoustic Surveillance

Badea,

Frigioescu,

Dombrovschi

et al. 2024

Inventions

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“…In the feld of mobile robots and aerial vehicles, SLAM can assist these intelligent agents in positioning, path planning, autonomous exploration, obstacle avoidance, and navigation. Similarly, SLAM technology is widely used in underwater operations, industrial robots, medical treatment, unmanned driving, and the other felds [10][11][12][13], as shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

A Review of Common Techniques for Visual Simultaneous Localization and Mapping

Dai

Wang

2023

Journal of Robotics

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Mobile robots are widely used in medicine, agriculture, home furnishing, and industry. Simultaneous localization and mapping (SLAM) is the working basis of mobile robots, so it is extremely necessary and meaningful for making researches on SLAM technology. SLAM technology involves robot mechanism kinematics, logic, mathematics, perceptual detection, and other fields. However, it faces the problem of classifying the technical content, which leads to diverse technical frameworks of SLAM. Among all sorts of SLAM, visual SLAM (V-SLAM) has become the key academic research due to its advantages of low price, easy installation, and simple algorithm model. Firstly, we illustrate the superiority of V-SLAM by comparing it with other localization techniques. Secondly, we sort out some open-source V-SLAM algorithms and compare their real-time performance, robustness, and innovation. Then, we analyze the frameworks, mathematical models, and related basic theoretical knowledge of V-SLAM. Meanwhile, we review the related works from four aspects: visual odometry, back-end optimization, loop closure detection, and mapping. Finally, we prospect the future development trend and make a foundation for researchers to expand works in the future. All in all, this paper classifies each module of V-SLAM in detail and provides better readability to readers. This is undoubtedly the most comprehensive review of V-SLAM recently.

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