A5020528744- Air Traffic Management and Optimization
- Robotic Path Planning Algorithms
- UAV Applications and Optimization
- Robotics and Sensor-Based Localization
- Autonomous Vehicle Technology and Safety
- Aviation Industry Analysis and Trends
- Virtual Reality Applications and Impacts
- Human Mobility and Location-Based Analysis
- Team Dynamics and Performance
- Human-Automation Interaction and Safety
- Traffic control and management
- Mobile Crowdsensing and Crowdsourcing
- Video Surveillance and Tracking Methods
- Evacuation and Crowd Dynamics
National Institute of Informatics
2016-2021
Situational awareness by Unmanned Aerial Vehicles (UAVs) is important for many applications such as surveillance, search and rescue, disaster response. In those applications, detecting locating people recognizing their actions in near real-time can play a crucial role preparing an effective However, there are currently three main limitations to perform this task efficiently. First, it often not possible access the live video feed from UAV's camera due limited bandwidth. Second, even if...
The development of a real-world Unmanned Aircraft System (UAS) Traffic Management (UTM) system to ensure the safe integration Aerial Vehicles (UAVs) in low altitude airspace, has recently generated novel research challenges. A key problem is Pre-Flight Conflict Detection and Resolution (CDR) methods that provide collision-free flight paths all UAVs before their takeoff. Such can be represented as Multi-Agent Path Finding (MAPF) problem. Currently, most MAPF assume UTM centralized entity...
In future unmanned aerial vehicle (UAV)-based services, UAV fleets will be managed by several independent flight operation service providers in shared low-altitude airspace. Therefore, conflict detection and resolution (CDR) methods that can solve conflicts-possible collisions between UAVs of different providers-are a key element the aircraft system traffic management system. As our CDR method, we introduce an adaptation ORCA, which is state-of-the-art collision avoidance algorithm hitherto...
The increasing demand for services performed by Unmanned Aerial Vehicles (UAVs) requires the simulation of Aircraft System Traffic Management (UTM) systems. In particular, Pre-Flight Conflict Detection and Resolution (CDR) methods need to scale future levels generate conflict-free paths a potentially large number UAVs before actual takeoff. However, few studies have examined realistic scenarios requirements UTM system. this paper, we focus on Sendai 2030 model case, projection UAV usage...
With the ubiquity of smartphones, spatial crowdsourcing (SC) has emerged as a new paradigm that engages mobile users to perform tasks in physical world. Thus, various SC techniques have been studied for performance optimization. However, little research done understand workers' behavior real In this study, we designed and performed two world campaigns utilizing our app, called Genkii, which is GPS-enabled app report their affective state (e.g., happy, sad). We used Yahoo! Japan Crowdsourcing...
Unmanned aerial vehicles (UAVs) operate with large degrees of autonomy when executing tasks from a ground-based controller. In this work, we design an (immersive) interface for drone management. Our supports operators in mission execution one or several (automated) UAVs within fleet. This allows to assign UAVs, while safe operations are ensured through in-flight conflict detection and prevention. fulfills both functional (e.g., reliability) non-functional requirements perceived cognitive...
The development of an unmanned aircraft system (UAS) traffic management (UTM) for the safe integration aerial vehicles (UAVs) requires pre-flight conflict detection and resolution (CDR) methods to provide collision-free flight paths all UAVs before takeoff. A popular solution consists in adapting multi-agent path finding (MAPF) techniques. However, standard MAPF solvers consider only a fixed takeoff time uniform speed each UAV path, which can lead inefficiencies instances. Therefore, this...