A system for making a holographic medium for use in generating light patterns for eye tracking includes a light source configured to provide light and a beam splitter configured to separate the light into a first portion of the light and a second portion of the light that is spatially separated from the first portion of the light. The system also includes a first set of optical elements configured to transmit the first portion of the light for providing a first wide-field beam onto an optically recordable medium and one or more diffractive optical elements configured to receive the second portion of the light and project a plurality of separate light patterns onto the optically recordable medium for forming the holographic medium.

Systems and methods are provided for validating a sensor system associated with a vehicle. The vehicle is equipped with a set of replica sensors selected and positioned to emulate an optical path of a master set of sensors that has already been validated. The second vehicle is driven for a distance less than that required for validation of the sensor system to acquire a first set of data associated with the set of replica sensors and a second set of data associated with the sensor system. A machine learning model is trained on the first and second sets of data to provide an image transfer function. The image transfer function is applied to a set of master validation data produced during validation of the master vehicle to produce a set of transformed validation data. The new sensor system is validated with the set of transformed validation data.

Techniques related to feature detection and matching fisheye images are discussed. Such techniques include determining a geometric constraint for the feature matching using match results from a first image based feature matching and generating resultant matches based on applying the geometric constraint and a second image based feature matching that applies a looser image based feature matching requirement than the image based feature matching.

A vehicular forward viewing image capture system includes an accessory module configured for attachment at an in-cabin side of a windshield of a vehicle, whereby the imaging sensor views through the windshield forward of the equipped vehicle. With the accessory module attached at the in-cabin side of the windshield, and while the vehicle is traveling along a road, a control processes captured image data to determine (i) presence of an object of interest viewed by the imaging sensor and (ii) location and/or movement of the object of interest viewed by the imaging sensor. The control, responsive to the processing of captured image data and responsive to vehicle data received via a vehicle communication bus, at least in part provides at least one selected from the group consisting of (a) traffic sign recognition, (b) traffic light status detection, (c) adaptive cruise control and (d) pedestrian detection.

The disclosure provides for a method of controlling one or more sensors on a moving vehicle that is executable by one or more computing devices. The one or more computing devices may detect a first surface at a first location and a second surface at a second location using the one or more sensors. The second surface may be classified as a target of interest. Then the one or more computing devices may determine one or more timing characteristics of the one or more sensors based on a pose or motion of the one or more sensors relative to the first location of the first surface and the second location of the second surface. Then, the one or more computing devices may control the one or more sensors to capture data according to the determined one or more timing characteristics.

The technology relates to camera systems for vehicles having an autonomous driving mode. An example system includes a first camera mounted on a vehicle in order to capture images of the vehicle's environment. The first camera has a first exposure time and being without an ND filter. The system also includes a second camera mounted on the vehicle in order to capture images of the vehicle's environment and having an ND filter. The system also includes one or more processors configured to capture images using the first camera and the first exposure time, capture images using the second camera and the second exposure time, use the images captured using the second camera to identify illuminated objects, use the images captured using the first camera to identify the locations of objects, and use the identified illuminated objects and identified locations of objects to control the vehicle in an autonomous driving mode.

The present disclosure provides a fingerprint scanning method and a mobile terminal. The mobile terminal includes a first fingerprint scanning module and a second fingerprint scanning module. The method includes: monitoring an operation performed on a scanning area of the first fingerprint scanning module; when an operation instructing to enter a preset fingerprint application scenario is monitored, transmitting a wake-up instruction to the second fingerprint scanning module. The wake-up instruction is configured to instruct the second fingerprint scanning module to enter an operation mode.

Described are various embodiments of a light field display, adjusted pixel rendering method and computer-readable medium therefor, and vision correction system and method using same addressing astigmatism or similar conditions. In one embodiment, a computer-implemented method is provided to automatically adjust user perception of an input image to be rendered on a digital display via a set of pixels thereof, wherein the digital display has an array of light field shaping elements.

Various embodiments disclosed herein describe a divided-aperture infrared spectral imaging (DAISI) system that is adapted to acquire multiple IR images of a scene with a single-shot (also referred to as a snapshot). The plurality of acquired images having different wavelength compositions that are obtained generally simultaneously. The system includes at least two optical channels that are spatially and spectrally different from one another. Each of the at least two optical channels are configured to transfer IR radiation incident on the optical system towards an optical FPA unit comprising at least two detector arrays. One of the at least two detector arrays comprises a cooled mid-wavelength infra-red FPA. The system further comprises at least one temperature reference source or surface that is used to dynamically calibrate the two detector arrays and compensate for a temperature difference between the two detector arrays.

The invention provides a distinguishing device for distinguishing, between vehicles passing in front of the device, a heavy goods vehicle (HGV) from a coach including over its entire length windows between a top side member and a bottom side member, the device comprising: a vertical stack of emitters of incident beams towards at least top halves of flanks of at least some of the vehicles; a vertical stack of receivers for detecting the beams that are reflected by the flanks of said vehicles; calculation means for calculating the time that elapses between each emission of a beam and the detection of the corresponding reflected beam in order to establish an image of each vehicle flank; and image processor means for detecting therein the absence or the presence of a top side member.