摘要:
The present invention relates to a system and a method for measuring and determining the depth, offset and translation in relation to one or several features in the field of view of an image sensor equipped UAV. The UAV comprises at least an autopilot system capable of estimating rotation and translation, processing means, height measuring means and one or more imaging sensor means. Given the estimated translation provided by the autopilot system, the objective of the present invention is achieved by the following method; capturing an image, initiating a change in altitude, capturing a second image, comparing the images and the change in height provided by the sensor to produce a scale factor or depth. If depth is estimated, then calculating the scale factor from the depth, and calculating the actual translation with the resulting scale factor.
摘要:
A system for aerial image detection and classification is provided herein. The system comprising an aerial image database storing one or more aerial images electronically received from one or more image providers, and an object detection pre-processing engine in electronic communication with the aerial image database, the object detection pre-processing engine detecting and classifying objects using a disparity mapping generation sub-process to automatically process the one or more aerial images to generate a disparity map providing elevation information, a segmentation sub-process to automatically apply a pre-defined elevation threshold to the disparity map, the pre-defined elevation threshold adjustable by a user, and a classification sub-process to automatically detect and classify objects in the one or more stereoscopic pairs of aerial images by applying one or more automated detectors based on classification parameters and the pre-defined elevation threshold.
摘要:
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.
摘要:
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.
摘要:
An unmanned vehicle system, having at least one autonomous ground vehicle (A-GV) and at least one remote controlled aerial vehicle (RC-AV). The A-GV autonomously navigates across the ground, and on-board perception sensors, whose field of view that contains at least a portion of the ground ahead of the direction of travel of the ground vehicle as well as the RC-GV. The RC-AV flies in response to commands received from the control system of the A-GV. The RC-AV has on-board in-sky perception sensors having a field of view that contains at least a portion of the ground path to be followed by the ground vehicle. The control system of the A-GV locate the aerial vehicle, receives perception data from the on-ground perception sensors and the in-sky perception sensors, and uses combined perception data to determine a ground path for itself and for the RC-AV.
摘要:
The invention provides a camera for photogrammetry, which comprises a shaft 11 tiltably supported in any direction via a gimbal 14, a GPS device having a GPS antenna 12 installed on an upper end of said shaft, and a photographic device main unit 13 installed on a lower end of said shaft, wherein optical axis of said photographic device main unit is designed so as to direct in vertical and downward direction, said photographic device main unit has an image pickup unit 24 installed in a known relation with said GPS antenna and a control device for controlling image pickup of said image pickup unit, and said control device 19 controls said image pickup unit so that still image is acquired by the image pickup unit, and an image pickup position at the time of image pickup is obtained by said GPS device.
摘要:
A passive altimeter includes an imaging device, a groundspeed system, an image processing device operatively connected to receive an indication of groundspeed from the groundspeed system and to receive at least a first image from the imaging device taken at a first position and a second image from the imaging device taken at a second position spaced apart from the first position. The image processing device is configured to compare the first image and the second image to determine an altitude above ground using the indication of groundspeed from the groundspeed system.
摘要:
Various embodiments relate to a method (700) and system for geo-referencing at least one sensor image. The method comprises the steps of: generating at least one sensor image of a first scene with at least one sensor, accessing a 3D model of the environment comprising geo-coded 3D coordinate data and related to at least one second scene, said second scene encompassing said first scene, matching the sensor image with the 3D model find a section of the 3D model where there is a match between the first and the second scenes, geo-referencing the sensor image based on the geo-coded 3D coordinate data of the found section of the 3D model, and determining a measure related to an uncertainty in the matching between the sensor image and the 3D model.
摘要:
In one embodiment, the present invention includes a computer-implemented method to collect information to determine damage to a vehicle involved in a collision using photogrammetric techniques. When determined, this vehicle damage information, which may be in the form of crush measurement information such as a crush damage profile, can be displayed in a computer-generated view of the subject vehicle with a crush damage profile and used to estimate the impact severity. In some embodiments, based on the photogrammetric information derived, a direction of any shifting of the vehicle's components may be obtained and used along with other information to estimate a principal direction of force (PDOF) for one or more vehicles involved in the collision. Still further embodiments may be used to generate and/or audit repair estimates based at least in part on the photogrammetric information.
摘要:
A method for geo-referencing an area by an imaging optronics system which comprises acquiring M successive images by a detector, the imaged area being distributed between these M images, with M≧1. It comprises: measuring P distances d1, d2, . . . , dP between the system and P points of the area, called range-found points, with P≧3, distributed in K of said images with 1≦K≦M; acquiring the positioning xm, ym, zm of the detector at acquisition of the M images; measuring the attitude φm, θm, ψm of the detector at acquisition of the M images; acquiring the coordinates in these K images of image points (p1, q1), (p2, q2), . . . , (pP, qP) corresponding to the P range-found points; and estimating the parameters of exposure conditions xe, ye, ze, ψe, θe, φe corresponding to the M images as a function of positionings, of attitudes, distances and coordinates of the image points, to correct errors on the parameters xm, ym, zm, ψm, θm, φm of each of the M images.