Abstract: A method of operating a measurement device. The method includes performing a first measurement, by emitting a first beam of light having a first wavelength, at a first instant of time. The method further introducing a first passive period of time after the first measurement, wherein, during the first passive period of time, no beam of light is emitted. The method further includes performing a second measurement, by emitting a second beam of light having a second wavelength, at a second instant of time, wherein the second wavelength is different than the first wavelength the second instant of time is after the first passive period of time. The method further includes introducing a second passive period of time after the second instant of time, wherein, during the second passive period of time, no beam of light is emitted and the second passive period of time is different from the first passive period of time.

Abstract: A method and system for determining an area of fire and estimating progression of a fire in the determined area of fire. The method for determining the area of fire includes receiving sensor data from a plurality of sensor modules and determining the area of fire based on relative locations of the sensor modules with respect to each other. The method for estimating progression of a fire includes receiving first and second sensor data from at least one sensor module and devising a plurality of fire scenarios for each of the sensor data. The method further includes determining a likelihood of each of the plurality of fire scenarios to identify a potential combination of fire scenarios to estimate the progression of the fire.

Abstract: Disclosed is a method and system for determining an area of fire and a method and system for estimating progression of a fire in the determined area of fire. The method for determining the area of fire comprises receiving sensor data from a plurality of sensor modules and determining the area of fire based on relative locations of the sensor modules with respect to each other. The method for estimating progression of a fire comprises receiving first and second sensor data from at least one sensor module and devising a plurality of fire scenarios for each of the sensor data. The method further comprises determining a likelihood of each of the plurality of fire scenarios to identify a potential combination of fire scenarios to estimate the progression of the fire.

Abstract: A method for classifying a spatial data carried out by a data computing environment. The method includes: receiving a spatial data from a data source; generating a first feature from the spatial data; dividing the first feature into a first sub-feature and a second sub-feature; analysing the first sub-feature to derive a first sub-feature data; analysing the second sub-feature to derive a second sub-feature data; using the first sub-feature data and the second sub-feature data as a first input data for analysing the first feature; and analysing at least one of the first sub-feature data, the second sub-feature data, and the first feature to classify the spatial data into a plurality of object classes.

Abstract: A measurement device including a light source with a first emitter and a second emitter, and a light intensity measurement unit. A controller configures the first emitter to emit a first light beam using a first operative parameter and the second emitter to emit a second light beam using a second operative parameter. The controller configures the light intensity measurement unit to measure a first light intensity value of the first light beam and a second light intensity value of the second light beam. The controller compares the measured first and second light intensity values with a target intensity value; and adjust the first operative parameter and the second operative parameter based on the comparison to derive a first adjusted operative parameter and a second adjusted operative parameter.

Abstract: A method for creating ground control point within a spatial area, includes generating first and second geospatial dataset by measuring characteristics of a plurality of objects present within the spatial area. A first feature associating with a first object is detected from the measured characteristics of plurality of objects within first geospatial dataset and a first location co-ordinates is associated for the first feature. The first feature associating with the first object is further detected from measured characteristics of plurality of objects within second geospatial dataset and a second location co-ordinates is associated for the first feature. Level of accuracy is calculated for the first feature of the first object using the first and the second location co-ordinates. First feature of the first object is designated as the ground control point. The ground control point and the level of accuracy for the first feature are stored.

Abstract: A method for creating ground control point within a spatial area, includes generating first and second geospatial dataset by measuring characteristics of a plurality of objects present within the spatial area. A first feature associating with a first object is detected from the measured characteristics of plurality of objects within first geospatial dataset and a first location co-ordinates is associated for the first feature. The first feature associating with the first object is further detected from measured characteristics of plurality of objects within second geospatial dataset and a second location co-ordinates is associated for the first feature. Level of accuracy is calculated for the first feature of the first object using the first and the second location co-ordinates. First feature of the first object is designated as the ground control point. The ground control point and the level of accuracy for the first feature are stored.

Abstract: A method for correcting errors in location data. The method provides a planned route of travel of vehicle to server system. The vehicle uses planned route to travel on a route of travel. The vehicle records location measurement raw data of vehicle using location measurement system in vehicle during travel. Moreover, the vehicle determines a relative location of each object of a plurality of objects present in a vicinity of the route of travel. The vehicle acquires a portion of a first set of location correction data streams from the server system. The vehicle utilizes the acquired portion of the first set to determine errors in the location measurement raw data to derive correct location data of the vehicle. A correct location of each object is derived based on the derived correct location data of vehicle for georeferencing plurality of objects.

Abstract: A method for classifying a spatial data carried out by a data computing environment. The method includes: receiving a spatial data from a data source; generating a first feature from the spatial data; dividing the first feature into a first sub-feature and a second sub-feature; analysing the first sub-feature to derive a first sub-feature data; analysing the second sub-feature to derive a second sub-feature data; using the first sub-feature data and the second sub-feature data as a first input data for analysing the first feature; and analysing at least one of the first sub-feature data, the second sub-feature data, and the first feature to classify the spatial data into a plurality of object classes.

Abstract: Disclosed is a method and system for determining an area of fire and a method and system for estimating progression of a fire in the determined area of fire. The method for determining the area of fire comprises receiving sensor data from a plurality of sensor modules and determining the area of fire based on relative locations of the sensor modules with respect to each other. The method for estimating progression of a fire comprises receiving first and second sensor data from at least one sensor module and devising a plurality of fire scenarios for each of the sensor data. The method further comprises determining a likelihood of each of the plurality of fire scenarios to identify a potential combination of fire scenarios to estimate the progression of the fire.