The SPIDER project aims to develop an innovative system to support Urban-Warfare operations by providing improved situational awareness inside buildings. The project main goal is to provide soldiers with both an indoor map and the information about the location of humans within the same map. To that end, SPIDER will develop and analyse a framework comprising the use of multiple sensors to perform indoor mapping and human detection in an Urban Warfare context. Simultaneously, it will consider the choice of a data fusion strategy to process and combine sensor data. Furthermore, the project will explore the advantages and constraints of using each solution as well as solutions encompassing multiple cooperating autonomous robots combined with static RF sensor networks. The existence of distinct ground, aerial and static solutions enhances the resiliency and adaptability of the envisioned system, enabling its application in distinct environments and scenarios.
The ability to detect and locate human presence inside an unknown building before ever entering it is of critical importance, since humans are the most commonly relevant source of danger. Within the context of Urban Warfare, project SPIDER aims to provide critical situational awareness to operational forces entering an unfriendly building.
The segmentation of the problem in a list of main objectives leads to an easier context analysis and simultaneously ensures a more scalable and modular project approach. To that end project SPIDER focuses on the following main objectives:
1. Real-time mapping of the building interior
2. Detection and location of human presence inside the building
3. Combine measurements from both indoors and outdoors sensors
4. Improve the accuracy of the resulting measurements using data fusion
5. Real-time communication of the information to the relevant forces.