Indoor Mobile Mapping and Location-Based Knowledge Services

Special Issue Editors


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Guest Editor
Department of Industrial and Information Engineering and Economics, University of L'Aquila, 67100 L'Aquila, Italy
Interests: spatial databases; spatial query languages; mathematical modeling of spatial information; computational geometry; spatio-temporal reasoning; qualitative modeling of geographical information; indoor and outdoor navigation; volunteered geographic information
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Guest Editor
Department of Geography, University of Zurich, Zurich, Switzerland
Interests: indoor and outdoor mobility analytics; geospatial data engineering; geospatial information communication; GeoAI applications for sustainable cities

Special Issue Information

Dear Colleagues,

The ability to accurately map and navigate indoor environments is a cornerstone of modern spatial technologies, driving innovation in diverse fields such as smart cities, healthcare, logistics, and augmented reality. Unlike outdoor environments, where GPS and satellite imaging dominate, indoor spaces present unique challenges: signal occlusion, a lack of global positioning system (GPS) coverage, and complex spatial structures. These challenges have spurred the development of advanced indoor mobile mapping technologies and location-based knowledge services that leverage novel sensors, algorithms, and data processing techniques.

Indoor mobile mapping combines tools like LiDAR, vision systems, and sensor fusion to create high-resolution, three-dimensional representations of spaces. Paired with sophisticated localization methods such as Wi-Fi fingerprinting, ultra-wideband (UWB) tracking, or visual-inertial odometry; these systems enable precise navigation and spatial analysis within buildings. As the amount of spatial data increases, the focus is shifting from mere data collection to actionable insights, with location-based knowledge services playing a pivotal role in transforming raw spatial information into user-centric solutions for navigation, resource optimization, and decision-making.

The importance of this research area is underscored by its applicability across numerous industries:

  • Smart Cities and Infrastructure: Enabling efficient building management and energy optimization.
  • Retail and Logistics: Facilitating real-time inventory tracking and customer navigation.
  • Healthcare: Supporting indoor navigation in hospitals and resource allocation during emergencies.
  • Emergency Response: Enhancing rescue operations with real-time indoor positioning.

This Special Issue aims to achieve the following:

  1. Highlight Advances in Technology: Showcase the latest breakthroughs in indoor mapping and localization technologies, including sensor development, algorithmic innovations, and system integrations.
  2. Foster Interdisciplinary Research: Bring together expertise from geospatial science, computer vision, robotics, and data analytics to address the multifaceted challenges of indoor environments.
  3. Promote Applications and Case Studies: Provide a platform for real-world implementations of indoor mapping and location-based knowledge services, demonstrating their value across various sectors.
  4. Explore Standards and Ethical Considerations: Address the need for interoperability, accuracy benchmarks, and privacy-preserving methodologies to guide the responsible development of these technologies.
  5. Define Future Directions: Identify research gaps and emerging opportunities to inspire innovation and collaboration within this growing field.

Relevance to the Journal’s Scope

The subject of this Special Issue aligns closely with the journal’s focus on advancing spatial sciences, technology development, and applications. Indoor mobile mapping and location-based knowledge services embody the interdisciplinary nature of the journal’s scope by integrating geospatial technologies, data science, and practical applications. Furthermore, the topics proposed resonate with the journal's commitment to fostering innovation that benefits society and supports sustainable, efficient, and intelligent systems.

Themes for Exploration

This Special Issue would like to invite contributions on the following themes:

  • Advanced sensors and algorithms for indoor mapping.
  • AI-driven approaches for indoor localization and mapping.
  • Integration of indoor and outdoor mapping systems.
  • Applications of AR/VR in location-based knowledge services.
  • Standards and benchmarks for indoor spatial data.
  • Privacy-preserving solutions for indoor LBS.
  • Case studies on successful deployments in diverse industries.
  • Evacuation simulation with real-time positioning.

By addressing these motivations and themes, this Special Issue aims to provide a comprehensive understanding of current advancements, challenges, and future opportunities in indoor mobile mapping and location-based knowledge services, setting the stage for impactful research and innovation.

Prof. Dr. Eliseo Clementini
Dr. Zhiyong Zhou
Guest Editors

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Keywords

  • indoor mapping technologies
  • location-based knowledge services
  • indoor navigation systems
  • geospatial data for indoor spaces
  • real-time positioning and tracking
  • AI-driven indoor location services
  • indoor spatial analytics
  • smart indoor environments

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Published Papers (1 paper)

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Research

21 pages, 6514 KiB  
Article
Evacuation Behavioural Instructions with 3D Motions: Insights from Three Use Cases
by Ruihang Xie, Sisi Zlatanova, Jinwoo (Brian) Lee and André Borrmann
ISPRS Int. J. Geo-Inf. 2025, 14(5), 197; https://doi.org/10.3390/ijgi14050197 - 8 May 2025
Viewed by 187
Abstract
During emergency evacuations, pedestrians may use three-dimensional (3D) motions, such as low crawling and climbing up/down, to navigate above or below indoor objects (e.g., tables, chairs, and stair flights). Understanding how these motions influence evacuation processes can facilitate the development of behavioural instructions. [...] Read more.
During emergency evacuations, pedestrians may use three-dimensional (3D) motions, such as low crawling and climbing up/down, to navigate above or below indoor objects (e.g., tables, chairs, and stair flights). Understanding how these motions influence evacuation processes can facilitate the development of behavioural instructions. This study examines the influence of 3D motions through a simulation-based method. This method combines a voxel-based 3D indoor model with an agent-based model. Three use case studies are elaborated upon, considering varying building types, agent numbers, urgency levels, and demographic differences. These case studies serve as exploratory demonstrations rather than validated simulations grounded in real-world evacuation experiments. Our findings are as follows: (1) Three-dimensional motions may create alternative and local 3D paths, enabling agents to bypass congestion, particularly in narrow corridors and confined spaces. (2) While 3D motions may help alleviate local congestion, they may intensify bottlenecks near exits, especially in highly crowded and high-urgency scenarios. (3) As urgency and agent numbers increase, differences in evacuation efficiency between scenarios with and without 3D motions are likely to diminish. We suggest further investigation into evacuation behavioural instructions, including the following: (1) conditional use of 3D motions in different buildings and (2) instructions tailored to different demographic groups. These use cases illustrate new directions for evacuation managers to consider the incorporation of 3D motions. Full article
(This article belongs to the Special Issue Indoor Mobile Mapping and Location-Based Knowledge Services)
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