This product was developed from the technologies of the following awarded US Patents: US 6,415,227 B1, US 6,622,090 B2 and US 7,143,130 B2, etc.
 

Product Summary:
The Coremicro 4D GIS Virtual Reality for Controlling, Monitoring and Prediction of Manned/Unmanned Systems provides users with a human-robot interface that introduces a realistic 3D visualization engine to provide enhanced situation awareness to the operator. With the real-time transmission of onboard sensor measurements, operators acquire local measurements as if they are right on the spot. Coremicro 4D GIS allows rich features support for Guidance, Navigation, Control, and Communications (GNCC) and has managed a specialized design to accommodate a multi-robot environment consisting of four modules: 

​

1. 3D GIS Visualization Engine. The 3D GIS visualization provides exceptional power for map-based robot control. Unlike the nominal 2D map reference, where the perception of altitude is missing, the 3D GIS visualization engine allows a 3D workspace for the Coremicro Robot in both indoor and outdoor environments.

2. Collaboration and Communications. The communications and accompanying collaboration pose the cornerstone of operational capability. The operator-robot and inter-robot communications allow either peer-to-peer connections or networked inter-connections. Thus, the operator is able to manipulate a single robot or concurrently control a team of robots within Coremicro 4D GIS. 

3. Platform Sensor Fusion. The platform sensor fusion manages the onboard sensor measurements, performs data acquisition, and sends data back to the Coremicro 4D GIS. Data is then fused from sensors such as the Laser Range Finder (LRF), inertial measurement units (IMU), encoders, LIDAR, and several video feeds from cameras 

4. Resource Allocation. Resource allocation is a higher level manipulation to manage the available resources in a robot team. The allocation can be robot or sensor oriented. This module utilizes optimization techniques such as Mixed Integer Linear Programming (MILP) and Genetic Algorithms (GA) for optimal performance. The module can function autonomously or manually. 

​

FEATURES:

• IP-based Network Communication
Ethernet based communication system for logistic and location information exchange between the 4D GIS nodes and the manned/unmanned vehicles. Real time video server enhancing situational awareness.
• Logistic Planning and Task Assignments
Automated task assignments, route planning for various mission scenarios.
• Asset/Environment Monitoring and Management
Real time tracking and monitoring of vehicle assets and mission status. Multi-layer database with efficient data fusion algorithms that identify attributes associated with vehicles assets, tasks requirements, GIS terrain and obstacles.
• Predictive data mining
Based on established database and various pattern features, identifies possible bottlenecks, and failures before status reaches urgent. Handles different events with various priorities in a queuing system.

​

APPLICATIONS
• Ground Sea, and Air Freight Services
Real-time tracking and monitoring of vehicles globally, shipment routing/re-routing. shipment time estimation, routing center status, weather conditions, emergency information.
• Emergency Responders
Coordination and tracking of various emergency response agencies, fire trucks, police vehicles, paramedics, other personnel.
• Network Centric System
Network centric coordination, mission planning for surveillance, multi-UAV/UGV task assignments.