Patent ID: 9070093
Filing Date: 2015-06-30
Classification: G06Q,G08G

Abstract:
1. A computer implemented method comprising: receiving occupancy data for each of a plurality of zones, each zone comprising a respective set of cells and including a sensor for each of the cells in the set of cells, each of the cells being in one of a plurality of occupancy states at a time, the occupancy states including an occupied state and an unoccupied state, each of the sensors being in only one of a reporting state, in which the sensor reports the occupancy state of the respective cell, and a non-reporting state, in which the sensor does not report the occupancy state of the cell, at a time, the occupancy data comprising, for each of a plurality of times: with a processor, learning at least one predictive occupancy model configured for predicting an occupancy of at least one of the zones, the learning being based on at least a portion of the received occupancy data, at least one of the at least one predictive occupancy models including a sensor noise model which assumes that a probability of a sensor being in the reporting state is dependent on whether the respective cell is in the occupied state.