Abstract: Improved systems and methods for mapping are provided. In one embodiment, a system for mapping is provided. The system comprises a rangefinder adapted to output range measurements; an inertial sensor adapted to capture inertial measurements including inertial forces acting on the rangefinder and the attitude of the rangefinder; and a processor coupled the rangefinder and the inertial sensor and adapted to receive a set of range measurements from the rangefinder and inertial measurements from the inertial sensor. The processor is adapted to produce a virtual room reconstruction based on the set of range measurements from the rangefinder and inertial measurements from inertial sensor.

Abstract: Improved systems and methods for mapping are provided. In one embodiment, a system for mapping is provided. The system comprises a rangefinder adapted to output range measurements; an inertial sensor adapted to capture inertial measurements including inertial forces acting on the rangefinder and the attitude of the rangefinder; and a processor coupled the rangefinder and the inertial sensor and adapted to receive a set of range measurements from the rangefinder and inertial measurements from the inertial sensor. The processor is adapted to produce a virtual room reconstruction based on the set of range measurements from the rangefinder and inertial measurements from inertial sensor.

Abstract: A method for detecting significant events using neuronal sensor networks is provided. The method includes monitoring an environment surrounding a plurality of sensors for the presence of an event, when one or more events are detected, integrating the detected events over space and time using one or more collectors responsive to the plurality of sensors, determining when the one or more events are significant events and identifying and tracking significant events using processors responsive to the one or more collectors.