Abstract: A system for measuring surface deflection of a road includes a first stereo line-scan camera pair on a sensor rig and for capturing a first set of 3D images of a road surface; a second stereo line-scan camera pair on the sensor rig and for capturing a second set of 3D images of the road surface; at least one digital electro-optical (EO) camera rigidly attached to the sensor rig; an inertial measurement unit (IMU) detecting inertial forces acting upon the sensor rig; and a processor compensating for acceleration and vibration effects upon the sensor rig; and calculating the surface deflection of the road based on the first and second sets of 3D images. The processor utilizes imagery from the EO camera and inertial measurements from the IMU to produce 2D mosaics and 3D reconstructions of the road surface from the first and second sets of 3D images.

Abstract: A method of estimating position and orientation of a vehicle using image data is provided. The method includes capturing an image of a region external to the vehicle using a camera mounted to the vehicle, and identifying in the image a set of feature points of the region. The method further includes subsequently capturing another image of the region from a different orientation of the camera, and identifying in the image the same set of feature points. A pose estimation of the vehicle is generated based upon the identified set of feature points and corresponding to the region. Each of the steps are repeated at with respect to a different region at least once so as to generate at least one succeeding pose estimation of the vehicle. The pose estimations are then propagated over a time interval by chaining the pose estimation and each succeeding pose estimation one with another according to a sequence in which each was generated.

Abstract: A method of estimating position and orientation of a vehicle using image data is provided. The method includes capturing an image of a region external to the vehicle using a camera mounted to the vehicle, and identifying in the image a set of feature points of the region. The method further includes subsequently capturing another image of the region from a different orientation of the camera, and identifying in the image the same set of feature points. A pose estimation of the vehicle is generated based upon the identified set of feature points and corresponding to the region. Each of the steps are repeated at with respect to a different region at least once so as to generate at least one succeeding pose estimation of the vehicle. The pose estimations are then propagated over a time interval by chaining the pose estimation and each succeeding pose estimation one with another according to a sequence in which each was generated.