Abstract: A method is provided for preventing a collision between a motor vehicle and a pedestrian. The method uses a camera and a processor mountable in the motor vehicle. A candidate image is detected. Based on a change of scale of the candidate image, it may be determined that the motor vehicle and the pedestrian are expected to collide, thereby producing a potential collision warning. Further information from the image frames may be used to validate the potential collision warning. The validation may include an analysis of the optical flow of the candidate image, that lane markings prediction of a straight road, a calculation of the lateral motion of the pedestrian, if the pedestrian is crossing a lane mark or curb and/or if the vehicle is changing lanes.

Abstract: A method is provided for preventing a collision between a motor vehicle and a pedestrian. The method uses a camera and a processor mountable in the motor vehicle. A candidate image is detected. Based on a change of scale of the candidate image, it may be determined that the motor vehicle and the pedestrian are expected to collide, thereby producing a potential collision warning. Further information from the image frames may be used to validate the potential collision warning. The validation may include an analysis of the optical flow of the candidate image, that lane markings prediction of a straight road, a calculation of the lateral motion of the pedestrian, if the pedestrian is crossing a lane mark or curb and/or if the vehicle is changing lanes.

Abstract: Systems and methods are disclosed for driver monitoring. In one implementation, one or more images are received, e.g., from an image sensor. Such image(s) can reflect a at least a portion of a face of a driver. Using the images, a direction of a gaze of the driver is determined. A set of determined driver gaze directions is identified using at least one predefined direction. One or more features of one or more eyes of the driver are extracted using information associated with the identified set.

Abstract: A structured light projector includes an optical mask and a light emitter. The light emitter can be capable of illuminating the optical mask, and the optical mask can be capable of transforming the light from the emitter so as to provide structured light bi-dimensional coded light pattern that includes a plurality of feature types formed by a unique combination of feature elements. The projected light pattern includes one or more markers which include pairs of feature elements between which the epipolar distances are modified relative to distances between respective feature elements in non-marker areas of the pattern, and an appearance of feature elements within the marker and across the marker's edges is continuous.

Abstract: There is provided in accordance with an aspect of the presently disclosed subject matter, a method operating a depth sensing device. The method includes obtaining a current pulse timing on each of a first and a second depth sensing devices; and allocating an exclusive pulse timeslot to each of said first and second devices, so that during a portion of a frame which corresponds to any one of the pulse timeslots only a respective one of said first device and said second device emits a pulse.

Abstract: A method is provided for preventing a collision between a motor vehicle and a pedestrian. The method uses a camera and a processor mountable in the motor vehicle. A candidate image is detected. Based on a change of scale of the candidate image, it may be determined that the motor vehicle and the pedestrian are expected to collide, thereby producing a potential collision warning. Further information from the image frames may be used to validate the potential collision warning. The validation may include an analysis of the optical flow of the candidate image, that lane markings prediction of a straight road, a calculation of the lateral motion of the pedestrian, if the pedestrian is crossing a lane mark or curb and/or if the vehicle is changing lanes.

Abstract: According to examples of the presently disclosed subject an active triangulation system includes an active triangulation setup and a calibration module. The active triangulation setup includes a projector and a sensor. The projector is configured to project a structured light pattern that includes a repeating structure of a plurality of unique feature types and a plurality of markers distributed in the projected structured light pattern, where an epipolar distance between any two epipolar lines which are associated with an appearance in the image of any two respective markers is greater than a distance between any two distinguishable epipolar lines. The sensor is configured to capture an image of a reflected portion of the projected structured light. The calibration module is configured to determine an epipolar field for the active triangulation setup according to locations of the markers in the image, and to calibrate the active triangulation setup.

Abstract: A method is provided for preventing a collision between a motor vehicle and a pedestrian. The method uses a camera and a processor mountable in the motor vehicle. A candidate image is detected. Based on a change of scale of the candidate image, it may be determined that the motor vehicle and the pedestrian are expected to collide, thereby producing a potential collision warning. Further information from the image frames may be used to validate the potential collision warning. The validation may include an analysis of the optical flow of the candidate image, that lane markings prediction of a straight road, a calculation of the lateral motion of the pedestrian, if the pedestrian is crossing a lane mark or curb and/or if the vehicle is changing lanes.

Abstract: A structured light projector includes an optical mask and a light emitter. The light emitter can be capable of illuminating the optical mask, and the optical mask can be capable of transforming the light from the emitter so as to provide structured light bi-dimensional coded light pattern that includes a plurality of feature types formed by a unique combination of feature elements. The projected light pattern includes one or more markers which include pairs of feature elements between which the epipolar distances are modified relative to distances between respective feature elements in non-marker areas of the pattern, and an appearance of feature elements within the marker and across the marker's edges is continuous.

Abstract: A method is provided for preventing a collision between a motor vehicle and a pedestrian. The method uses a camera and a processor mountable in the motor vehicle. A candidate image is detected. Based on a change of scale of the candidate image, it may be determined that the motor vehicle and the pedestrian are expected to collide, thereby producing a potential collision warning. Further information from the image frames may be used to validate the potential collision warning. The validation may include an analysis of the optical flow of the candidate image, that lane markings prediction of a straight road, a calculation of the lateral motion of the pedestrian, if the pedestrian is crossing a lane mark or curb and/or if the vehicle is changing lanes.

Abstract: A structured light projector includes an optical mask and a light emitter. The light emitter can be capable of illuminating the optical mask, and the optical mask can be capable of transforming the light from the emitter so as to provide structured light bi-dimensional coded light pattern that includes a plurality of feature types formed by a unique combination of feature elements. The projected light pattern includes one or more markers which include pairs of feature elements between which the epipolar distances are modified relative to distances between respective feature elements in non-marker areas of the pattern, and an appearance of feature elements within the marker and across the marker's edges is continuous.

Abstract: There is provided in accordance with an aspect of the presently disclosed subject matter, a method operating a depth sensing device. The method includes obtaining a current pulse timing on each of a first and a second depth sensing devices; and allocating an exclusive pulse timeslot to each of said first and second devices, so that during a portion of a frame which corresponds to any one of the pulse timeslots only a respective one of said first device and said second device emits a pulse.

Abstract: A structured light projector includes an optical mask and a light emitter. The light emitter can be capable of illuminating the optical mask, and the optical mask can be capable of transforming the light from the emitter so as to provide structured light bi-dimensional coded light pattern that includes a plurality of feature types formed by a unique combination of feature elements. The projected light pattern includes one or more markers which include pairs of feature elements between which the epipolar distances are modified relative to distances between respective feature elements in non-marker areas of the pattern, and an appearance of feature elements within the marker and across the marker's edges is continuous.

Abstract: A method is provided for preventing a collision between a motor vehicle and a pedestrian. The method uses a camera and a processor mountable in the motor vehicle. A candidate image is detected. Based on a change of scale of the candidate image, it may be determined that the motor vehicle and the pedestrian are expected to collide, thereby producing a potential collision warning. Further information from the image frames may be used to validate the potential collision warning. The validation may include an analysis of the optical flow of the candidate image, that lane markings prediction of a straight road, a calculation of the lateral motion of the pedestrian, if the pedestrian is crossing a lane mark or curb and/or if the vehicle is changing lanes.

Abstract: A method is provided for preventing a collision between a motor vehicle and a pedestrian. The method uses a camera and a processor mountable in the motor vehicle. A candidate image is detected. Based on a change of scale of the candidate image, it may be determined that the motor vehicle and the pedestrian are expected to collide, thereby producing a potential collision warning. Further information from the image frames may be used to validate the potential collision warning. The validation may include an analysis of the optical flow of the candidate image, that lane markings prediction of a straight road, a calculation of the lateral motion of the pedestrian, if the pedestrian is crossing a lane mark or curb and/or if the vehicle is changing lanes.

Abstract: According to examples of the presently disclosed subject an active triangulation system includes an active triangulation setup and a calibration module. The active triangulation setup includes a projector and a sensor. The projector is configured to project a structured light pattern that includes a repeating structure of a plurality of unique feature types and a plurality of markers distributed in the projected structured light pattern, where an epipolar distance between any two epipolar lines which are associated with an appearance in the image of any two respective markers is greater than a distance between any two distinguishable epipolar lines. The sensor is configured to capture an image of a reflected portion of the projected structured light. The calibration module is configured to determine an epipolar field for the active triangulation setup according to locations of the markers in the image, and to calibrate the active triangulation setup.

Abstract: A method is provided for preventing a collision between a motor vehicle and a pedestrian. The method uses a camera and a processor mountable in the motor vehicle. A candidate image is detected. Based on a change of scale of the candidate image, it may be determined that the motor vehicle and the pedestrian are expected to collide, thereby producing a potential collision warning. Further information from the image frames may be used to validate the potential collision warning. The validation may include an analysis of the optical flow of the candidate image, that lane markings prediction of a straight road, a calculation of the lateral motion of the pedestrian, if the pedestrian is crossing a lane mark or curb and/or if the vehicle is changing lanes.