A motion sensor assembly is adapted to determine an angular velocity of a moving contrast in its field of view. The motion sensor assembly includes: a motion sensor with a first and a second analog photoreceptor each adapted for observing the moving contrast, the first and the second photoreceptors being separated by a predetermined interreceptor angle; and an angular velocity calculating unit connected to the first and second photoreceptors for calculating the angular velocity of the moving contrast based on a first and a second analog signal delivered by the first and the second photoreceptors, respectively. The first and the second analog signals delivered by the first and the second photoreceptors at are sampled a given sampling frequency to obtain a first and a second digital signal, respectively. An interpolator is configured to interpolate the first and the second digital signals upon their crossing a predetermined threshold between successive samples.

A motion sensor assembly is adapted to determine an angular velocity of a moving contrast in its field of view. The motion sensor assembly includes: a motion sensor with a first and a second analog photoreceptor each adapted for observing the moving contrast, the first and the second photoreceptors being separated by a predetermined interreceptor angle; and an angular velocity calculating unit connected to the first and second photoreceptors for calculating the angular velocity of the moving contrast based on a first and a second analog signal delivered by the first and the second photoreceptors, respectively. The first and the second analog signals delivered by the first and the second photoreceptors at are sampled a given sampling frequency to obtain a first and a second digital signal, respectively. An interpolator is configured to interpolate the first and the second digital signals upon their crossing a predetermined threshold between successive samples.

A positioning method based on a visible light source, a mobile terminal, and a controller. The method includes acquiring, by a visible light source controller, geographical position attribute information of a position at which a visible light source array is located, determining, by the visible light source controller according to a preset correspondence between geographical position attribute information of a position at which a visible light source array is located and a visible light source array pattern, a visible light source array pattern corresponding to the acquired geographical position attribute information, and controlling, by the visible light source controller according to the determined visible light source array pattern, the luminance state of each visible light source included in the visible light source array. Hence the method reduces the complexity of a positioning process.

A positioning method based on a visible light source, a mobile terminal, and a controller. The method includes acquiring, by a visible light source controller, geographical position attribute information of a position at which a visible light source array is located, determining, by the visible light source controller according to a preset correspondence between geographical position attribute information of a position at which a visible light source array is located and a visible light source array pattern, a visible light source array pattern corresponding to the acquired geographical position attribute information, and controlling, by the visible light source controller according to the determined visible light source array pattern, the luminance state of each visible light source included in the visible light source array. Hence the method reduces the complexity of a positioning process.

Provided is a method including emitting, with a laser light emitter disposed on a robot, a collimated laser beam projecting a light point on a surface opposite the laser light emitter; capturing, with each of at least two image sensors disposed on the robot, images of the projected light point; overlaying, with a processor of the robot, the images captured by the at least two image sensors to produce a superimposed image showing both captured images in a single image; determining, with the processor of the robot, a first distance between the projected light points in the superimposed image; and determining, with the processor, a second distance based on the first distance using a relationship that relates distance between light points with distance between the robot or a sensor thereof and the surface on which the collimated laser beam is projected.

Provided is a method including emitting, with a laser light emitter disposed on a robot, a collimated laser beam projecting a light point on a surface opposite the laser light emitter; capturing, with each of at least two image sensors disposed on the robot, images of the projected light point; overlaying, with a processor of the robot, the images captured by the at least two image sensors to produce a superimposed image showing both captured images in a single image; determining, with the processor of the robot, a first distance between the projected light points in the superimposed image; and determining, with the processor, a second distance based on the first distance using a relationship that relates distance between light points with distance between the robot or a sensor thereof and the surface on which the collimated laser beam is projected.

Methods and systems detect physical locations of vessels. A first satellite includes a first image sensor. A second satellite includes a second image sensor. The processor receives a first image of a target area from the first image sensor, and a second image of the target area from the second image sensor. Both images are taken within a predetermined time frame. The processor performs image recognition to identify a vessel that appears in both the first image and the second image. The processor receives the first satellite's location and orientation when the first image is taken and the second satellite's location and orientation when the second image is taken. Each satellite's location and orientation are determined by the satellite's geographic determination module. The processor determines the vessel's location by performing triangulation based on the first satellite's location and orientation and the second satellite's location and orientation. The processor outputs data representative of the vessel's determined location. The vessel's speed and bearing are also determined by the processor.

A method of automated spatial worksite referencing of a networked electronic measuring device with awareness of a rough location information of itself at a worksite location. The method includes querying a database for construction plan information about the rough location and its vicinity and about an actual work progress, computing an actual-state nominal spatial information at the rough location and its vicinity, automatically determining of a fine location of the networked electronic measuring device at the worksite location, by at least one iteration of: automatically determining a measurement point in the vicinity and measuring the measurement point using measurement functionality of the device, and then automatically assimilating the measurement point to the actual-state nominal spatial information and thereby determining the fine location information. When a desired level of accuracy of the determined fine location is not reached, performed another iteration with another additional measurement point is performed.

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.

The invention provides a flying vehicle tracking method, which comprises an optical tracking in which a tracking light is projected to a retro-reflector of a flying vehicle with the retro-reflector, the tracking light is received, and a tracking of the flying vehicle is performed based on a light receiving result, and an image tracking in which an image of the flying vehicle is acquired, the flying vehicle is detected from the image, and the tracking of the flying vehicle is performed based on a detection result, wherein the optical tracking and the image tracking are executed in parallel with each other, and in a case where the flying vehicle cannot be tracked by the optical tracking, the optical tracking is returned based on the detection result of the image tracking.