Methods and systems for performing navigation and terrain change detection based on real-time projection of a structured light pattern are provided. In a method for detecting a change in a field of view from a first point in time to a second point in time, a current three-dimensional dataset of the field of view is generated from a point of reference based on data received in real-time. The location of the point of reference is determined based on geo-spatial data. A stored three-dimensional dataset of the field of view generated from data received at the point of reference at the first point in time is accessed; and used to provide one or more alerts which signify changes in the field of view between the current three-dimensional dataset and the stored three-dimensional dataset.

Methods and systems for performing navigation and terrain change detection based on real-time projection of a structured light pattern are provided. In a method for detecting a change in a field of view from a first point in time to a second point in time, a current three-dimensional dataset of the field of view is generated from a point of reference based on data received in real-time. The location of the point of reference is determined based on geo-spatial data. A stored three-dimensional dataset of the field of view generated from data received at the point of reference at the first point in time is accessed; and used to provide one or more alerts which signify changes in the field of view between the current three-dimensional dataset and the stored three-dimensional dataset.

A method including: obtaining first LiDAR dataset and second LiDAR dataset of environment from LiDAR database, first LiDAR dataset and second LiDAR dataset being captured at first time period and second time period, respectively, second time period being later than first time period; dividing first and second LiDAR datasets into first and second LiDAR subsets; matching given first LiDAR subset with given second LiDAR subset; detecting first objects and second objects in given first and second LiDAR subsets; determining average offset between locations of first objects and locations of second objects; creating given link between given first object and at least one second object, said second object lying within predefined threshold distance from given first object in direction of average offset; and evaluating validity of given link, based upon whether or not given link satisfies growth criterion, given first object is associated with at most one valid link.

A system for automatically adjusting a baseline of an imaging system for stereoscopic imaging and methods for making and using same. The imaging system includes a plurality of imaging devices that cooperate via a baseline adjustment mechanism. The imaging devices can acquire images of an object of interest and ascertain an object distance between the stereoscopic imaging system and the object of interest using triangulation. Based on the object distance, the baseline adjustment mechanism automatically adjusts a baseline between any pair of imaging devices. The baseline can be reduced when the object of interest is proximate to the imaging system and can be increased when the object of interest is distal. Once the baseline has been adjusted, one or more extrinsic parameters of the imaging devices are calibrated using a two-step optimization method. The imaging system is suitable for use aboard a mobile platform such as an unmanned aerial vehicle.

A system for automatically adjusting a baseline of an imaging system for stereoscopic imaging and methods for making and using same. The imaging system includes a plurality of imaging devices that cooperate via a baseline adjustment mechanism. The imaging devices can acquire images of an object of interest and ascertain an object distance between the stereoscopic imaging system and the object of interest using triangulation. Based on the object distance, the baseline adjustment mechanism automatically adjusts a baseline between any pair of imaging devices. The baseline can be reduced when the object of interest is proximate to the imaging system and can be increased when the object of interest is distal. Once the baseline has been adjusted, one or more extrinsic parameters of the imaging devices are calibrated using a two-step optimization method. The imaging system is suitable for use aboard a mobile platform such as an unmanned aerial vehicle.

A method, system, and computer program product for precise target positioning in geographical imaging are provided. The system includes: a sensor including a camera and a telemetry information provider; and a simulated image mechanism for simulating an image of the view from the camera generated from an orthophotograph. A display displays a geographical image of a view from the camera and simultaneously displaying the simulated image. A selection component is provided for selecting a location on the simulated image. This is done by reference to a target in the geographical image. A world coordinates calculating component accurately calculates the world coordinates for the selected location from the simulated image.

A method, system, and computer program product for precise target positioning in geographical imaging are provided. The system includes: a sensor including a camera and a telemetry information provider; and a simulated image mechanism for simulating an image of the view from the camera generated from an orthophotograph. A display displays a geographical image of a view from the camera and simultaneously displaying the simulated image. A selection component is provided for selecting a location on the simulated image. This is done by reference to a target in the geographical image. A world coordinates calculating component accurately calculates the world coordinates for the selected location from the simulated image.

The invention relates to a method for detecting and locating hydrocarbon deposits under a body of water in several steps. First, images of a surface of the body of water taken at different times are acquired. Next, for each image, traces of hydrocarbon leaks are identified. Next, a detection map is generated. This map indicates probabilities of the presence of a hydrocarbon leak around the identified traces. The map is obtained by processing the image at least based on a criterion of distance to the identified traces. Finally, the detection maps are combined to produce a hydrocarbon leak location map.

The invention relates to a method for detecting and locating hydrocarbon deposits under a body of water in several steps. First, images of a surface of the body of water taken at different times are acquired. Next, for each image, traces of hydrocarbon leaks are identified. Next, a detection map is generated. This map indicates probabilities of the presence of a hydrocarbon leak around the identified traces. The map is obtained by processing the image at least based on a criterion of distance to the identified traces. Finally, the detection maps are combined to produce a hydrocarbon leak location map.

Disclosed is a monitoring method wherein: a target is prepared using terrain model data including terrain location information; at a first time, an image of the target is picked up by means of an image pickup unit of a surveying device, and first image data is generated; at a second time after the first time, an image of the target is picked by means of the image pickup unit of the surveying device, and second image data is generated; and displacement of the target is detected using a first image based on the first image data, and a second image based on the second image data.