RAIL: Robust Acoustic Indoor Localization for Drones

Famili, Alireza; Stavrou, Angelos; Wang, Haining; Jung-Min,; Park, Hae‐Sim

doi:10.48550/arxiv.2111.03764

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…Therefore, their proposed scheme had high localization errors. In another work [6], Famili et al proposed a multi-path robust system for drones' three-dimensional localization in indoor environments. Even though their proposed scheme fixed the signal separation challenge and eliminated the unnecessary communication link between the drone and the transmitter beacons in the room, they failed to explain the reason behind having a bad 𝑍 -axis estimation and their system lacked the optimal beacon placement analysis.…”

Section: Final Resultsmentioning

confidence: 99%

iDROP: Robust Localization for Indoor Navigation of Drones with Optimized Beacon Placement

Famili¹,

Stavrou²,

Wang³

et al. 2022

Preprint

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Drones in many applications need the ability to fly fully or partially autonomously to accomplish their mission. To allow these fully/partially autonomous flights, first, the drone needs to be able to locate itself constantly. Then the navigation command signal would be generated and passed on to the controller unit of the drone. In this paper, we propose a localization scheme for drones called iDROP (Robust Localization for Indoor Navigation of Drones with Optimized Beacon Placement) that is specifically devised for GPSdenied environments (e.g., indoor spaces). Instead of GPS signals, iDROP relies on speaker-generated ultrasonic acoustic signals to enable a drone to estimate its location. In general, localization error is due to two factors: the ranging error and the error induced by relative geometry between the transmitters and the receiver. iDROP mitigates these two types of errors and provides a high-precision three-dimensional localization scheme for drones. iDROP employs a waveform that is robust against multi-path fading. Moreover, by placing beacons in optimal locations, it reduces the localization error induced by the relative geometry between the transmitters and the receiver.

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Section: Final Resultsmentioning

confidence: 99%

iDROP: Robust Localization for Indoor Navigation of Drones with Optimized Beacon Placement

Famili¹,

Stavrou²,

Wang³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…As technology advances, building engineering [13,14] and construction [15][16][17] challenges are being addressed in a variety of ways, particularly with regard to project management [18][19][20], scheduling [21,22], and safety concerns [23,24]. Accordingly, emerging technologies such as virtual reality (VR) [25][26][27], augmented reality (AR) [28,29], wearable sensors [23,30,31], drones [32][33][34][35][36], and BIM [37][38][39][40][41][42] have recently gained increasing attention from the AECO industry because it improves the efficiency, productivity, and safety of projects throughout their life cycle. In the early 2000s, BIM was introduced in pilot projects to support architects and engineers in designing buildings [43].…”

Section: Literature Review and Context Backgroundmentioning

confidence: 99%

Underlying Factors and Strategies for Organizational BIM Capabilities: The Case of Iran

Rajabi

Rezaeiashtiani

Radzi

et al. 2022

ASI

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Building information modeling (BIM) has a significant role in the architecture, engineering, construction, and operation (AECO) industries. Most BIM benefits have not been grasped due to the lack of organizational BIM capabilities (OBIMCs). Accordingly, organizations must develop intuitive strategies to support BIM implementation and to fulfill the promised benefits. This study investigates the impact of different capability factors on OBIMC and the underlying strategies to improve OBIMC in Iran. Particularly, this study builds a structural equation model to explain the links between the capability factors and strategies linked to OBIMC in Iran. A systematic literature review of twenty-six papers and semi-structured interviews with fifteen BIM specialists identified nineteen capability factors and fourteen strategies. A survey of 126 BIM professionals was used to assess the importance of the capability factors and strategies. To analyze the collected data, first, an Exploratory Factor Analysis (EFA) was performed. Then, Partial Least-Squares Structural Equation Modeling (PLS-SEM) was employed. The EFA generated two constructs for the capability factors: OBIMC and organizational capabilities (OCA). Furthermore, it categorized the strategies into two constructs: BIM capability requirement (BIMCR) and organizational culture (OCU). The structural equation model demonstrates that BIMCR and OCU enhance OCA and OBIMC. These two elements are also positively impacted by BIMCR. Industry professionals and policymakers can use these findings to develop strategic plans and to prioritize efforts. The significant contribution of this study is to illuminate the interrelationship between capability factors and strategies related to OBIMC in Iran.

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RAIL: Robust Acoustic Indoor Localization for Drones

Cited by 2 publications

References 13 publications

iDROP: Robust Localization for Indoor Navigation of Drones with Optimized Beacon Placement

iDROP: Robust Localization for Indoor Navigation of Drones with Optimized Beacon Placement

Underlying Factors and Strategies for Organizational BIM Capabilities: The Case of Iran

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