MOBILEYE VISION TECHNOLOGIES LTD. Patent applications |
Patent application number | Title | Published |
20160140080 | COMPUTER ARCHITECTURE WITH A HARDWARE ACCUMULATOR RESET - A processor with an accumulator. An event is selected to produce one or more selected events. A reset signal to the accumulator is generated responsive to the selected event. Responsive to the reset signal, the accumulator is reset to zero or another initial value while avoiding breaking pipelined execution of the processor. | 05-19-2016 |
20160104048 | FUSION OF FAR INFRARED AND VISIBLE IMAGES IN ENHANCED OBSTACLE DETECTION IN AUTOMOTIVE APPLICATIONS - A computerized system mountable on a vehicle operable to detect an object by processing first image frames from a first camera and second image frames from a second camera. A first range is determined to said detected object using the first image frames. An image location is projected of the detected object in the first image frames onto an image location in the second image frames. A second range is determined to the detected object based on both the first and second image frames. The detected object is tracked in both the first and second image frames When the detected object leaves a field of view of the first camera, a third range is determined responsive to the second range and the second image frames. | 04-14-2016 |
20160086041 | FUSION OF FAR INFRARED AND VISIBLE IMAGES IN ENHANCED OBSTACLE DETECTION IN AUTOMOTIVE APPLICATIONS - A computerized system mountable on a vehicle operable to detect an object by processing first image frames from a first camera and second image frames from a second camera. A first range is determined to said detected object using the first image frames. An image location is projected of the detected object in the first image frames onto an image location in the second image frames. A second range is determined to the detected object based on both the first and second image frames. The detected object is tracked in both the first and second image frames When the detected object leaves a field of view of the first camera, a third range is determined responsive to the second range and the second image frames. | 03-24-2016 |
20160055385 | SYSTEMS AND METHODS FOR DETECTING TRAFFIC SIGNS - Systems and methods are provided for detecting traffic signs. In one implementation, a traffic sign detection system for a vehicle include at least one image capture device configured to acquire at least one image of a scene including a traffic sign ahead of the vehicle. The traffic sign detection system also includes a data interface and at least one processing device programmed to receive the at least one image via the data interface, transform the at least one image, sample the transformed at least one image to generate a plurality of images having different sizes, convolve each of the plurality of images with a template image, compare each pixel value of each convolved image to a predetermined threshold, and select local maxima of pixel values within local regions of each convolved image as attention candidates, the local maxima being greater than the predetermined threshold. | 02-25-2016 |
20160052514 | MULTI-THRESHOLD REACTION ZONE FOR AUTONOMOUS VEHICLE NAVIGATION - Systems and methods use cameras to provide autonomous navigation features. In one implementation, a driver assist navigation system for a primary vehicle may include at least one image capture device configured to acquire a plurality of images of an area in a vicinity of the primary vehicle; a data interface; and at least one processing device. The at least processing device may be configured to: receive the plurality of images via the data interface; identify a target object within the plurality of images; monitor, via the plurality of images, a motion of the target object and a distance between the primary vehicle and the target object; determine an indicator of an intercept time between the primary vehicle and the target object based on the monitored motion and the distance between the primary vehicle and the target object; and cause a response in the primary vehicle based on a comparison of the intercept time to a plurality of predetermined intercept thresholds. | 02-25-2016 |
20160046290 | RECOGNITION AND PREDICTION OF LANE CONSTRAINTS AND CONSTRUCTION AREAS IN NAVIGATION - Systems and methods use cameras to provide autonomous and/or driver-assist navigation features. In some implementations, techniques for predicting the location of first roadway lane constraints are provided. The system may receive multiple images of a roadway in a vicinity of a vehicle, recognize a first roadway lane constraint, and, when lane prediction conditions are determined to be satisfied, predict a location of a second roadway lane constraint. In some implementations, techniques for detecting and responding to construction zones are provided. The system may receive multiple images of a roadway in a vicinity of a vehicle, recognize indicators of a construction zone in the images, determine that the vehicle is proximate to a construction zone, and output a signal indicating that the vehicle is proximate to a construction zone. | 02-18-2016 |
20160025568 | DETECTION AND CLASSIFICATION OF LIGHT SOURCES USING A DIFFRACTION GRATING - A system mounted in a vehicle for classifying light sources. The system includes a lens and a spatial image sensor. The lens is adapted to provide an image of a light source on the spatial image sensor. A diffraction grating is disposed between the lens and the light source. The diffraction grating is adapted for providing a spectrum. A processor is configured for classifying the light source as belonging to a class selected from a plurality of classes of light sources expected to be found in the vicinity of the vehicle, wherein the spectrum is used for the classifying of the light source. Both the image and the spectrum may be used for classifying the light source or the spectrum is used for classifying the light source and the image is used for another driver assistance application. | 01-28-2016 |
20150367850 | SYSTEMS AND METHODS FOR MIMICKING A LEADING VEHICLE - Systems and methods use cameras to provide autonomous navigation features. In one implementation, a driver assist navigation system is provided for a primary vehicle. The system may include at least one image capture device configured to acquire a plurality of images of an area in a vicinity of the primary vehicle; a data interface; and at least one processing device. The at least one processing device may be configured to: locate in the plurality of images a leading vehicle; determine, based on the plurality of images, at least one action taken by the leading vehicle; and cause the primary vehicle to mimic the at least one action of the leading vehicle. | 12-24-2015 |
20150354976 | TOP-DOWN REFINEMENT IN LANE MARKING NAVIGATION - Systems and methods use cameras to provide autonomous navigation features. In one implementation, top-down refinement in lane marking navigation is provided. The system may include one or more memories storing instructions and one or more processors configured to execute the instructions to cause the system to receive from one or more cameras one or more images of a roadway in a vicinity of a vehicle, the roadway comprising a lane marking comprising a dashed line, update a model of the lane marking based on odometry of the one or more cameras relative to the roadway, refine the updated model of the lane marking based on an appearance of dashes derived from the received one or more images and a spacing between dashes derived from the received one or more images, and cause one or more navigational responses in the vehicle based on the refinement of the updated model. | 12-10-2015 |
20150336547 | SYSTEMS AND METHODS FOR BRAKING A VEHICLE BASED ON A DETECTED OBJECT - Systems and methods are provided for detecting an object and causing a vehicle to brake based on the detection. In one implementation, an object detecting and braking system for a vehicle includes at least one image capture device configured to acquire a plurality of images of an area including an object in front of the vehicle. The system includes at least one processing device programmed to perform a first image analysis to determine a first estimated time-to-collision of the vehicle with the object, and to perform a second image analysis to determine a second estimated time-to-collision of the vehicle with the object. The processing device is also programmed to calculate a difference between the first estimated time-to-collision and the second estimated time-to-collision, to determine that the difference does not exceed a predetermined threshold, and to cause the vehicle to brake based on the determination that the difference does not exceed the predetermined threshold. | 11-26-2015 |
20150332114 | SYSTEMS AND METHODS FOR CURB DETECTION AND PEDESTRIAN HAZARD ASSESSMENT - A detection system for a vehicle is provided. The detection system may include at least one image capture device configured to acquire a plurality of images of an area forward of the vehicle, the area including a curb separating a road surface from an off-road surface and a data interface. The detection system may also include at least one processing device programmed to receive the plurality of images via the data interface, and determine a plurality of curb edge line candidates in the plurality of images. The at least one processing device may be further programmed to identify at least one edge line candidate as an edge line of the curb. | 11-19-2015 |
20150332104 | SYSTEMS AND METHODS FOR DETECTING TRAFFIC SIGNS - Systems and methods are provided for detecting traffic signs. In one implementation, a traffic sign detection system for a vehicle include at least one image capture device configured to acquire at least one image of a scene including a traffic sign ahead of the vehicle. The traffic sign detection system also includes a data interface and at least one processing device programmed to receive the at least one image via the data interface, transform the at least one image, sample the transformed at least one image to generate a plurality of images having different sizes, convolve each of the plurality of images with a template image, compare each pixel value of each convolved image to a predetermined threshold, and select local maxima of pixel values within local regions of each convolved image as attention candidates, the local maxima being greater than the predetermined threshold. | 11-19-2015 |
20150302606 | COLLISION WARNING SYSTEM - A method of estimating a time to collision (TTC) of a vehicle with an object comprising: acquiring a plurality of images of the object; and determining a TTC from the images that is responsive to a relative velocity and relative acceleration between the vehicle and the object. | 10-22-2015 |
20150234045 | NAVIGATION BASED ON RADAR-CUED VISUAL IMAGING - A navigation system for a vehicle may include at least one image capture device configured to acquire a plurality of images of an environment of a vehicle and a radar sensor to detect an object in the environment of the vehicle and to provide and output including range information indicative of at least one of a range or range rate between the vehicle and the object. The system may also include at least one processing device programmed to: receive the plurality of images from the at least one image capture device; receive the output from the radar sensor; determine, for each of a plurality of image segments in a first image, from among the plurality of images, and corresponding image segments in a second image, from among the plurality of images, an indicator of optical flow; use range information determined based on the output of the radar sensor together with the indicators of optical flow determined for each of the plurality of image segments in the first image and the corresponding image segments in the second image to calculate for each of a plurality of imaged regions at least one value indicative of a focus of expansion; identify a target object region, including at least a subset of the plurality of imaged regions that share a substantially similar focus of expansion; and cause a system response based on the identified target object region. | 08-20-2015 |
20150210312 | SYSTEMS AND METHODS FOR DETECTING LOW-HEIGHT OBJECTS IN A ROADWAY - Systems and methods use cameras to provide autonomous navigation features. In one implementation, a driver-assist object detection system is provided for a vehicle. One or more processing devices associated with the system receive at least two images from a plurality of captured images via a data interface. The device(s) analyze the first image and at least a second image to determine a reference plane corresponding to the roadway the vehicle is traveling on. The processing device(s) locate a target object in the first two images, and determine a difference in a size of at least one dimension of the target object between the two images. The system may use the difference in size to determine a height of the object. Further, the system may cause a change in at least a directional course of the vehicle if the determined height exceeds a predetermined threshold. | 07-30-2015 |
20150210278 | SYSTEMS AND METHODS FOR IDENTIFYING RELEVANT TRAFFIC LIGHTS - Systems and methods use cameras to provide autonomous navigation features. In one implementation, a system includes at least one image capture device configured to acquire at least one image of an area forward of the vehicle. The area includes a plurality of traffic lamp fixtures each including at least one traffic light. The system further includes at least one processing device configured to use at least one indicator of vehicle position, as determined from the at least one acquired image, to determine a relevance to the vehicle of each of the plurality of traffic lamp fixtures. The at least one processing device may determine, based on the at least one acquired image, a status of a traffic light included in at least one traffic lamp fixture determined to be relevant to the vehicle, and cause a system response based on the determined status. | 07-30-2015 |
20150210277 | SYSTEMS AND METHODS FOR DETECTING TRAFFIC LIGHTS - Systems and methods use cameras to provide autonomous navigation features. In one implementation, a system includes at least one image capture device configured to acquire a plurality of images of a traffic light located in a region above the vehicle, outside of a sightline of a typical driver location in the vehicle. The system further includes a data interface, and at least one processing device. The at least one processing device may be configured to receive the plurality of images via the data interface, determine a status of the traffic light based on analysis of at least a first image from among the plurality of images, determine a change in status of the traffic light based on at least a second image from among the plurality of images, and cause a system response based on the determination of the change in status. | 07-30-2015 |
20150210276 | SYSTEMS AND METHODS FOR DETERMINING THE STATUS OF A TURN LANE TRAFFIC LIGHT - Systems and methods use cameras to provide autonomous navigation features. In one implementation, a traffic light detection system is provided for a vehicle. One or more processing devices associated with the system receive at least one image of an area forward of the vehicle via a data interface, with the area including at least one traffic lamp fixture having at least one traffic light. The processing device(s) determine, based on at least one indicator of vehicle position, whether the vehicle is in a turn lane. Also, the processing device(s) process the received image(s) to determine the status of the traffic light, including whether the traffic light includes an arrow. Further, the system may cause a system response based on the determination of the status of the traffic light, whether the traffic light includes an arrow, and whether the vehicle is in a turn lane. | 07-30-2015 |
20150210275 | SYSTEMS AND METHODS FOR DETECTING TRAFFIC SIGNAL DETAILS - Systems and methods use cameras to provide autonomous navigation features. In one implementation, a traffic light detection system is disclosed. The system may include at least one image capture device configured to acquire a plurality of images of an area forward of the vehicle, the area including a traffic lamp fixture having at least one traffic light. At least one processing device may be configured to align areas of the plurality of images corresponding to the traffic light, based on a determined center of brightness, expand each pixel within the aligned areas, determine a set of average pixel values including an average pixel value for each set of corresponding expanded pixels within the aligned areas, and determine, based on the set of average pixel values, whether the traffic light includes an arrow. | 07-30-2015 |
20150210274 | SYSTEMS AND METHODS FOR LANE END RECOGNITION - Systems and methods use cameras to provide autonomous navigation features. In one implementation, a lane ending detection system is provided for a vehicle. One or more processing devices associated with the system receive at least one image via a data interface. The device(s) extract lane ending information from the road sign(s) included in the image data and determine, based on at least one indicator of position of the vehicle, a distance from the vehicle to one or more lane constraints associated with the current lane. The processing device(s) determine, based on the lane ending information and the vehicle position, whether a current lane in which the vehicle is traveling is ending. Further, the system may cause the vehicle to change lanes if the lane in which the vehicle is traveling is ending. | 07-30-2015 |
20150153735 | SYSTEMS AND METHODS FOR DETECTING AND RESPONDING TO TRAFFIC LATERALLY ENCROACHING UPON A VEHICLE - Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method for navigating a user vehicle may include acquiring, using at least one image capture device, a plurality of images of an area in a vicinity of the user vehicle; determining from the plurality of images a first lane constraint on a first side of the user vehicle and a second lane constraint on a second side of the user vehicle opposite to the first side of the user vehicle; determining, based on the plurality of images, whether an encroaching vehicle is approaching from a side of the user vehicle; and causing the user vehicle to maintain a current velocity and to travel within the first and second lane constraints such that a first distance, on the side of the user vehicle that the encroaching vehicle is approaching from, is greater than a second distance. | 06-04-2015 |
20150151753 | IMAGE-BASED VELOCITY CONTROL FOR A TURNING VEHICLE - Systems and methods use cameras to provide autonomous navigation features. In one implementation, a driver assist navigation system is provided for a vehicle. The system may include at least one image capture device configured to acquire a plurality of images of an area in a vicinity of the vehicle; a data interface; and at least one processing device. The at least one processing device may be configured to: receive the plurality of images via the data interface; recognize a curve to be navigated based on map data and vehicle position information; determine an initial target velocity for the vehicle based on at least one characteristic of the curve as reflected in the map data; adjust a velocity of the vehicle to the initial target velocity; determine, based on the plurality of images, one or more observed characteristics of the curve; determine an updated target velocity based on the one or more observed characteristics of the curve; and adjust the velocity of the vehicle to the updated target velocity. | 06-04-2015 |
20150151751 | MULTI-THRESHOLD REACTION ZONE FOR AUTONOMOUS VEHICLE NAVIGATION - Systems and methods use cameras to provide autonomous navigation features. In one implementation, a driver assist navigation system for a primary vehicle may include at least one image capture device configured to acquire a plurality of images of an area in a vicinity of the primary vehicle; a data interface; and at least one processing device. The at least processing device may be configured to: receive the plurality of images via the data interface; identify a target object within the plurality of images; monitor, via the plurality of images, a motion of the target object and a distance between the primary vehicle and the target object; determine an indicator of an intercept time between the primary vehicle and the target object based on the monitored motion and the distance between the primary vehicle and the target object; and cause a response in the primary vehicle based on a comparison of the intercept time to a plurality of predetermined intercept thresholds. | 06-04-2015 |
20150151742 | SYSTEMS AND METHODS FOR MIMICKING A LEADING VEHICLE - Systems and methods use cameras to provide autonomous navigation features. In one implementation, a driver assist navigation system is provided for a primary vehicle. The system may include at least one image capture device configured to acquire a plurality of images of an area in a vicinity of the primary vehicle; a data interface; and at least one processing device. The at least one processing device may be configured to: locate in the plurality of images a leading vehicle; determine, based on the plurality of images, at least one action taken by the leading vehicle; and cause the primary vehicle to mimic the at least one action of the leading vehicle. | 06-04-2015 |
20150151725 | SYSTEMS AND METHODS FOR IMPLEMENTING A MULTI-SEGMENT BRAKING PROFILE FOR A VEHICLE - Systems and methods use cameras to provide autonomous navigation features. In one implementation, a driver assist navigation system may include at least one image capture device configured to acquire a plurality of images of an area in a vicinity of the vehicle; a data interface; and at least one processing device. The at least one processing device may be configured to: receive the plurality of images via the data interface; identify, based on analysis of the plurality of images, a trigger for stopping the vehicle; and based on the identified trigger, cause the vehicle to stop according to a braking profile including a first segment associated with a first deceleration rate, a second segment which includes a second deceleration rate less than the first deceleration rate, and a third segment in which a level of braking is decreased as a target stopping location is approached, as determined based on the analysis of the plurality of images. | 06-04-2015 |
20150103159 | FORWARD-FACING MULTI-IMAGING SYSTEM FOR NAVIGATING A VEHICLE - Systems and methods use cameras to provide autonomous navigation features. In one implementation, a driver-assist system is provided for a vehicle. The system may include one or more image capture devices configured to acquire images of an area forward of the vehicle. The system may also include at least one processing device configured to receive, via one or more data interfaces, the images. The at least one processing device may be further configured to analyze the images acquired by the one or more image capture devices and cause at least one navigational response in the vehicle based on monocular and/or stereo image analysis of the images. | 04-16-2015 |
20150062304 | STEREO ASSIST WITH ROLLING SHUTTERS - An imaging system for a vehicle may include a first image capture device having a first field of view and configured to acquire a first image relative to a scene associated with the vehicle, the first image being acquired as a first series of image scan lines captured using a rolling shutter. The imaging system may also include a second image capture device having a second field of view different from the first field of view and that at least partially overlaps the first field of view, the second image capture device being configured to acquire a second image relative to the scene associated with the vehicle, the second image being acquired as a second series of Image scan lines captured using a rolling shutter. As a result of overlap between the first field of view and the second field of view, a first overlap portion of the first image corresponds with a second overlap portion of the second image. The first image capture device has a first scan rate associated with acquisition of the first series of image scan lines that is different from a second scan rate associated with acquisition of the second series of image scan lines, such that the first image capture device acquires the first overlap portion of the first image over a period of time during which the second overlap portion of the second image is acquired. | 03-05-2015 |