A5046380897- Robotics and Sensor-Based Localization
- Human Mobility and Location-Based Analysis
- Big Data and Business Intelligence
- Atmospheric Ozone and Climate
- Inertial Sensor and Navigation
- Big Data Technologies and Applications
- Smart Parking Systems Research
- 3D Surveying and Cultural Heritage
- BIM and Construction Integration
- Mobile Crowdsensing and Crowdsourcing
- Evaluation and Optimization Models
- Atmospheric chemistry and aerosols
- GNSS positioning and interference
- Image and Object Detection Techniques
- Indoor and Outdoor Localization Technologies
- Advanced Vision and Imaging
- Robotic Mechanisms and Dynamics
- Evacuation and Crowd Dynamics
- Atmospheric and Environmental Gas Dynamics
- Video Surveillance and Tracking Methods
- IoT and Edge/Fog Computing
- Infrastructure Maintenance and Monitoring
- Evaluation Methods in Various Fields
Nagoya University
2000-2025
Every year, for ten years now, the IPIN competition has aimed at evaluating real-world indoor localisation systems by testing them in a realistic environment, with movement, using EvAAL framework. The provided unique overview of state-of-the-art systems, technologies, and methods positioning navigation purposes. Through fair comparison performance achieved each system, was able to identify most promising approaches pinpoint critical working conditions. In 2020, included 5 diverse off-site...
The manual creation of a ceiling plan consumes many human resources to confirm the current state existing buildings for renovation. Especially positions and types fixtures are important. In this paper, we propose synthesis method panoramic image using video shot by an omnidirectional camera. We utilize Visual SLAM map frames including ceiling. prioritize clear depiction fixture outlines easier identification fixtures. To draw in resulting image, each is referred from single frame that...
We present an assisting system for creating a ceiling plan. Conventional methods of plan are time-consuming and high-cost. Our requires only two inputs from user outputs the panoramic image that shows whole surface. The detects fixtures depicts them seamlessly reliable resulting image. confirmed possibility in with our through experiment.
Spatio-temporal data is utilized in various fields, but its scale continuously growing, leading to significant labor and costs storage processing. Therefore, the value that can be derived from spatio-temporal diluted due management costs. We propose a new flow using metadata common programs for utilization. Traditionally, processing have been implemented processed according each data. defined structure performed based on program. Furthermore, we automated generation of by combining our...
The continuously changing conditions of cities are now technically understandable in the information space through real-world sensing methods and analytical such as big data analysis machine learning. On other hand, it is currently difficult to estimate present what people city need (latent demand). This paper aims solve latent demand by developing Latent Demand Resolver (LD-Resolver), new estimation exchanging system. LD-Resolver has two components, Extractor (LD-Extractor) Exchanger...