Geoinformation support for exploratory teams Li Zhong National University of Singapore Military Faculty 13.4.2019 Li Zhong

Introduction Special GI support system for military teams Project has started in 2002 Supported by government of the China 13.4.2019 Li Zhong

Scope of the system Map surounding area Analyse landscape Find the best solution for military action 13.4.2019 Li Zhong

Map surrounding area Create digital landscape model of the area Including Digital terrain model Objects on the terrain Object’s movement (dynamic items) 13.4.2019 Li Zhong

Analyse landscape Evaluate landscape items Evaluate dynamic objects Predict possible future situation (state of the landscape and dynamic items) 13.4.2019 Li Zhong

Find the best solution for military action Analyse input parameters of the action Build the possible solutions based on prediction Evaluate the solutions Recommend the solution 13.4.2019 Li Zhong

An action examples Destroy enemy base station Escape prisoners Find a strategic point and build base station 13.4.2019 Li Zhong

Components Hardware (computers, robots, detectors, sensors, computer network, …) Software (services, clients, adaptive cooperate and distributed components, …) Data (knowledge base, neural networks, landscape model, …) Framework (standards, metadata, …) 13.4.2019 Li Zhong

Robot Sensors (detectors) – movement, meteorology, radar, photography, video, GPS, EGNOSS, LPS Move in difficult terrain 13.4.2019 Li Zhong

Standalone sensors Sensors (detectors) – movement, meteorology, … Distributed in the terrain by robots or soldiers Connected by wireless computer network CPU and memory with web services and clients inside 13.4.2019 Li Zhong

Computer network Wireless network Covers 200 km2 13.4.2019 Li Zhong

Services Web services SOAP, HTTPS, RTMPS, WS-Security Cooperate services (service built on other services) Adaptive services (automaticly generated services based on the situation, based on neural network analysis) 13.4.2019 Li Zhong

Service examples / 1 Photogrammetry service Radar service Creates 3D model from set of land photos from the robot’s camera or sensor’s camera Radar service Precises 3D model created by Photogrammetry service 13.4.2019 Li Zhong

Service examples / 2 Movement service Map service Returns set of information about moving objects in the landscape Map service Build interactive 3D scene from Photogrammetry, Movement and Radar services 13.4.2019 Li Zhong

Service examples / 3 Services in the sensors and the robot Return set of measured items Return video sequence Return image Analyse situation and build parameters for a new service to develope … 13.4.2019 Li Zhong

Clients Set of different clients For example: Virtual Reality client – based on X3D or O2C technology 2D map client – based on Flash or Java applet technology Video client – shows video from selected robot or sensor 13.4.2019 Li Zhong

Knowledge base Base for expert system Set of information how to make best solution for planned military action 13.4.2019 Li Zhong

Neural networks Used for many purposes Image analysis – classification, 3D analysis Radar data analysis Terrain analysis Action analysis – support for expert system 13.4.2019 Li Zhong

Standards OpenGIS, ISO, W3C, OASIS, SGC Interoperability Cooperation 13.4.2019 Li Zhong

Metadata Data Semantic Ontology Process flow control 13.4.2019 Li Zhong

Current status Testing the system Tested areas: Tibet Taiwan 13.4.2019 Li Zhong

Standalone multi-sensor prototype 13.4.2019 Li Zhong

Robot prototype 13.4.2019 Li Zhong

The Future Enable hardware adaptibility Sensors and robots must be able to change their hardware configuration Thinking in way of molecular hardware components 13.4.2019 Li Zhong

Thank you for your attention Questions? 13.4.2019 Li Zhong