Abstract: A method comprising: receiving a high frame rate video stream of a scene, wherein the scene comprises at least one object in motion relative to an imaging device acquiring the video stream; continuously dividing, in real time, the video stream into at least one consecutive sequences of n frames each; with respect to each current sequence: (i) estimating pixel motion between at least some pairs of frames in the sequence, (ii) calculating a motion vector field for each pixel in the sequence, (iii) generating a representative frame which co-locates all of the pixels to respective pixel positions, based on the calculated motion vector fields, and (iv) aggregating, for each of the respective pixel positions, pixel values from all frames in the sequence; and outputting, in real time, a stream of the representative frames, wherein the stream has a lower frame rate than the high frame rate.

Abstract: A method for performing active distance measurements, the method may include receiving or generating an identification of at least one target object recognized in an image; emitting, by a transmission module, one or more light pulses towards the at least one target object; directing, by an optical multiplexer of a reception module, towards at least one detector, at least one reflected light pulse that is reflected from the at least one target object; detecting, by at least one detector of the reception module, the at least one reflected light pulse; dynamically coupling, by an electrical multiplexer, the at least one detector to at least one distance measurement unit; calculating, by the one or more distance measurement units, a distance to each one of the at least one target object based on the at least one emitted light pulse and the at least one reflected light pulse.

Abstract: A method for performing active distance measurements, the method may include receiving or generating an identification of at least one target object recognized in an image; emitting, by a transmission module, one or more light pulses towards the at least one target object; directing, by an optical multiplexer of a reception module, towards at least one detector, at least one reflected light pulse that is reflected from the at least one target object; detecting, by at least one detector of the reception module, the at least one reflected light pulse; dynamically coupling, by an electrical multiplexer, the at least one detector to at least one distance measurement unit; calculating, by the one or more distance measurement units, a distance to each one of the at least one target object based on the at least one emitted light pulse and the at least one reflected light pulse.

Abstract: Autonomous driving of a vehicle in which computerized perception by the vehicle, including of its environment and of itself (e.g., its egomotion), is used to autonomously drive the vehicle and, additionally, can also be used to provide feedback to enhance performance, safety, and/or other attributes of autonomous driving of the vehicle (e.g., when certain conditions affecting the vehicle are determined to exist by detecting patterns in or otherwise analyzing what is perceived by the vehicle), such as by adjusting autonomous driving of the vehicle, conveying messages regarding the vehicle, and/or performing other actions concerning the vehicle.

Abstract: A perception system, comprising a set of reference sensors; a set of test sensors and a computing device, which is configured for receiving first training signals from the set of reference sensors and receiving second training signals from the set of test sensors, the set of reference sensors and the set of test sensors simultaneously exposed to a common scene; processing the first training signals to obtain reference images containing reference depth information associated with the scene; and using the second training signals and the reference images to train a neural network for transforming subsequent test signals from the set of test sensors into test images containing inferred depth information.

Abstract: A method comprising: receiving a high frame rate video stream of a scene; continuously dividing, in real time, the video stream into consecutive sequences of frames each; with respect to each current sequence: (i) estimating pixel motion between pairs of frames in the sequence, to calculate a current motion vector field for each pixel in the sequence, (ii) co-locating all of the pixels to current representative pixel positions associated with a desired time point in the sequence, and (iii) calculating an inter-sequence motion vector field, based on estimating motion between the current representative pixel positions and an immediately preceding sequence of the sequences; and outputting, in real time, at a rate that is lower than the high frame rate, at least one of (x) the current motion vector field, (y) the inter-sequence motion vector field, and (z) pixel values associated with the current representative pixel positions.

Abstract: A method comprising: receiving a high frame rate video stream of a scene, wherein the scene comprises at least one object in motion relative to an imaging device acquiring the video stream; continuously dividing, in real time, the video stream into at least one consecutive sequences of n frames each; with respect to each current sequence: (i) estimating pixel motion between at least some pairs of frames in the sequence, (ii) calculating a motion vector field for each pixel in the sequence, (iii) generating a representative frame which co-locates all of the pixels to respective pixel positions, based on the calculated motion vector fields, and (iv) aggregating, for each of the respective pixel positions, pixel values from all frames in the sequence; and outputting, in real time, a stream of the representative frames, wherein the stream has a lower frame rate than the high frame rate.

Abstract: A system and method for generating a high-density three-dimensional (3D) map are disclosed. The system comprises acquiring at least one high density image of a scene using at least one passive sensor; acquiring at least one new set of distance measurements of the scene using at least one active sensor; acquiring a previously generated 3D map of the scene comprising a previous set of distance measurements; merging the at least one new set of distance measurements with the previous set of upsampled distance measurements, wherein merging the at least one new set of distance measurements further includes accounting for a motion transformation between a previous high-density image frame and the acquired high density image and the acquired distance measurements; and overlaying the new set of distance measurements on the high-density image via an upsampling interpolation, creating an output 3D map.

Abstract: A system and method for generating a high-density three-dimensional (3D) map are disclosed. The system comprises acquiring at least one high density image of a scene using at least one passive sensor; acquiring at least one new set of distance measurements of the scene using at least one active sensor; acquiring a previously generated 3D map of the scene comprising a previous set of distance measurements; merging the at least one new set of distance measurements with the previous set of upsampled distance measurements, wherein merging the at least one new set of distance measurements further includes accounting for a motion transformation between a previous high-density image frame and the acquired high density image and the acquired distance measurements; and overlaying the new set of distance measurements on the high-density image via an upsampling interpolation, creating an output 3D map.

Abstract: Methods and systems for designing a binary spatial filter based on data indicative of a desired exposure condition to be emulated by an inspection system, and for implementing the binary spatial filter in an optical path of the inspection system, thereby enabling emulation of the desired exposure condition by interacting a light beam of the inspection system with the binary spatial filter. The present method and systems enable on-the-fly and on-demand design and implementation/generation of spatial filters for use in inspection systems.

Abstract: An optical system having coherence reduction capabilities includes a light source for generating a first light pulse; an asymmetrical pulse stretcher arranged to receive the first light pulse and to generate multiple light pulses, during a pulse sequence generation period, wherein the asymmetrical pulse stretcher includes multiple optical components which define a loop and a condenser lens is located between the asymmetrical pulse stretcher and an object, for directing the multiple pulses toward an area on the object At least two optical components of the multiple optical components are positioned in an almost symmetrical manner in relation to each other and introduce a coherence-related difference between at least two pulses of the multiple pulses. The pulse sequence generation period does not exceed a response period of a detector.

Abstract: Methods and systems for designing a binary spatial filter based on data indicative of a desired exposure condition to be emulated by an inspection system, and for implementing the binary spatial filter in an optical path of the inspection system, thereby enabling emulation of the desired exposure condition by interacting a light beam of the inspection system with the binary spatial filter. The present method and systems enable on-the-fly and on-demand design and implementation/generation of spatial filters for use in inspection systems.

Abstract: Methods and systems for designing a binary spatial filter based on data indicative of a desired exposure condition to be emulated by an inspection system, and for implementing the binary spatial filter in an optical path of the inspection system, thereby enabling emulation of the desired exposure condition by interacting a light beam of the inspection system with the binary spatial filter. The present method and systems enable on-the-fly and on-demand design and implementation/generation of spatial filters for use in inspection systems.

Abstract: An optical system having coherence reduction capabilities includes a light source for generating a first light pulse; an asymmetrical pulse stretcher arranged to receive the first light pulse and to generate multiple light pulses, during a pulse sequence generation period, wherein the asymmetrical pulse stretcher includes multiple optical components which define a loop and a condenser lens is located between the asymmetrical pulse stretcher and an object, for directing the multiple pulses toward an area on the object At least two optical components of the multiple optical components are positioned in an almost symmetrical manner in relation to each other and introduce a coherence-related difference between at least two pulses of the multiple pulses. The pulse sequence generation period does not exceed a response period of a detector.

Abstract: Methods and systems for designing a binary spatial filter based on data indicative of a desired exposure condition to be emulated by an inspection system, and for implementing the binary spatial filter in an optical path of the inspection system, thereby enabling emulation of the desired exposure condition by interacting a light beam of the inspection system with the binary spatial filter. The present method and systems enable on-the-fly and on-demand design and implementation/generation of spatial filters for use in inspection systems.

Abstract: Evaluating error sources associated with a mask involves: (i) receiving data representative of multiple images of the mask that were obtained at different exposure conditions; (ii) calculating, for multiple sub-frames of each image of the mask, values of a function of intensities of pixels of each sub-frame to provide multiple calculated values; and (iii) detecting error sources in response to calculated values and in response to sensitivities of the function to each error source.

Abstract: A method and system for evaluating an object that has a repetitive pattern. Illumination optics of an optical unit are adapted to scan a spot of radiation over a repetitive pattern that includes multiple regularly repeating structural elements that are optically distinguishable from their background, generating a diffraction pattern that includes multiple diffraction lobes. Collection optics are adapted to focus radiation from the repetitive pattern onto a detector. The focused radiation includes a single diffraction lobe while not including other diffraction lobes. A grey field detector generates detection signals, responsive to the focused collected radiation.

Abstract: A system, method and computer readable medium for reticle evaluation, the method includes: (i) obtaining, during an imaging process, multiple images of the reticle under different polarization and optionally interferometric conditions; and (ii) generating an output aerial image in response to (i) the multiple images and (ii) differences between the imaging process and an exposure process; wherein during the exposure process an image of the reticle is projected onto a wafer.

Abstract: A method for evaluating placement errors within a lithographic mask, the method includes: providing or receiving a reference result that represents a distance between a reference pair of points of a reference element; measuring, for each pair of points out of multiple pairs of points that are associated with multiple spaced apart elements of the lithographic mask, the distance between the pair of points to provide multiple measurement results; wherein differences between a measurement result and the reference result are indicative of relative placement errors; and determining relative placement errors in response to relationships between the reference result and each of the measurement results.

Abstract: Evaluating error sources associated with a mask involves: (i) receiving data representative of multiple images of the mask that were obtained at different exposure conditions; (ii) calculating, for multiple sub-frames of each image of the mask, values of a function of intensities of pixels of each sub-frame to provide multiple calculated values; and (iii) detecting error sources in response to calculated values and in response to sensitivities of the function to each error source.