Abstract: Systems, and method and computer readable media that store instructions for generating a hybrid representation of a media unit.

Abstract: Systems, and method and computer readable media that store instructions for calculating signatures, utilizing signatures and the like, wherein for a low-power calculation of a signature, the method comprises: receiving or generating a media unit of multiple objects: processing the media unit by performing multiple iterations, determining a relevancy of the spanning elements of the iteration; completing the dimension expansion process by relevant spanning elements of the iteration and reducing a power consumption of irrelevant spanning; determining identifiers that are associated with significant portions of an output of the multiple iterations; and providing a signature that comprises the identifiers and represents the multiple objects.

Abstract: A method for matching a sensed signal to a concept structure, the method may include: receiving a sensed signal; generating a signature of the input image; comparing the signature of the input image to signatures of a concept structure; determining whether the signature of the input image matches any of the signatures of the concept structure based on signature matching criteria, wherein each signature of the concept structure is associated within a signature matching criterion that is determined based on an object detection parameter of the signature; and concluding that the input image comprises an object associated with the concept structure based on an outcome of the determining.

Abstract: Systems, and method and computer readable media that store instructions for configuring spanning elements of a signature generator.

Abstract: A system and method for removing contextually identical multimedia content elements. The method includes analyzing a plurality of multimedia content elements to identify at least two multimedia content elements of the plurality of multimedia content elements that are contextually identical; selecting, from among the at least two contextually identical multimedia content elements, at least one optimal multimedia content element; and removing, from a storage, all multimedia content elements of the group of contextually identical multimedia content elements other than the at least one optimal multimedia content element.

Abstract: A method for providing an in-vehicle indication, the method may include obtaining, during a driving session of a vehicle, external audio information about audio generated outside the vehicle; determining whether the audio generated outside the vehicle comprises driving affecting audio; and generating the in-vehicle indication, within the vehicle, when determining that the audio generated outside comprises driving affecting audio. The in-vehicle indication is indicative about the driving affecting audio generated outside the vehicle.

Abstract: A method for generating a simulation scenario, the method may include receiving sensed information that was sensed during driving sessions of vehicles; wherein the sensed information comprises visual information regarding multiple objects; determining, by applying an unsupervised learning process on the sensed information, driving scenario building blocks and occurrence information regarding an occurrence of the driving scenario building blocks; and generating the simulation scenario based on a selected set of driving scenario building blocks and on physical guidelines, wherein the generating comprises selecting, out of the driving scenario building blocks, the selected set of driving scenario building blocks; wherein the generating is responsive to at least a part of the occurrence information and to at least one simulation scenario limitation.

Abstract: A system and method for generating analytics for entities depicted in multimedia content, including: identifying at least one social pattern based on social linking scores of a plurality of entities indicated in a social linking graph, wherein each social pattern is identified at least by comparing one of the social linking scores to a predetermined social pattern threshold, wherein each social linking score is generated based on contexts of at least one multimedia content element (MMCE) in which at least two of the plurality of entities are depicted, wherein each context is determined based on a plurality of concepts of one of the at least one MMCE, wherein each concept matches at least one signature generated for the at least one MMCE above a predetermined threshold; and generating, based on the identified at least one social pattern, analytics for the plurality of entities depicted in the social linking graph.

Abstract: A method for a concept update, the method may include detecting that a certain signature of an object causes a false detection; the certain signature belongs to a concept structure that comprises multiple signatures; wherein the false detection comprises determining that the object is represented by the concept structure while the object is of a certain type that is not related to the concept structure; searching for an error inducing part of the certain signature that induced the false detection; and removing from the concept structure the error inducing part to provide an updated concept structure.

Abstract: A system and method for at least partially completing a user profile. The method includes analyzing the user profile to identify at least one missing informational element in the user profile, wherein identifying the at least one missing element further comprises determining at least one concept based on the user profile and matching the determined at least one concept to a plurality of category concepts, each concept including a collection of signatures and metadata describing the concept, wherein each category concept is associated with at least one required informational element, wherein each missing informational element is one of the at least one required informational element that is not included in the user profile; sending a query for the missing informational element; and updating at least a portion of the user profile based on a response to the query.

Abstract: A method for bypass alert, the method may include obtaining during a driving session of a vehicle, sensed information about an environment of the first vehicle, by one of more vehicle sensors of the vehicle; detecting that the vehicle is within a certain distance from a destination of the driving session; detecting, using a first machine learning process, one or more parking indicators that are indicative of an allowable parking area that precedes the vehicle; detecting a vacant parking space within the parking area that is large enough to facilitate a parking of the vehicle within the vacant parking space; and responding to the vacant parking space.

Abstract: An autonomous driving system incorporating human communication into driving related decisions.

Abstract: An autonomous driving system relying on communication between a vehicle and a human road user

Abstract: Systems, and method and computer readable media that store instructions for distance measurement, the method may include obtaining, from a camera of a vehicle, an image of a surroundings of the vehicle; searching, within the image, for an anchor, wherein the anchor is associated with at least one physical dimension of a known value; and when finding the anchor, determining a distance between the camera and the anchor based on, (a) the at least one physical dimension of a known value, (b) an appearance of the at least one physical dimension of a known value in the image, and (c) a distance-to-appearance relationship that maps appearances to distances, wherein the distance-to-appearance relationship is generated by a calibration process that comprises obtaining one or more calibration images of the anchor, and obtaining one or more distance measurements to the anchor.

Abstract: A method for determining driving related features of a vehicle, which may include repeating, during each time interval out of multiple time intervals of a period: obtaining sensed information during at least a part of the time interval; selecting, based on a predefined decision, a selected sub-set of narrow artificial intelligence (AI) agents; and calculating one or more driving related feature. The calculating may include applying the selected sub-set of narrow AI agents on the sensed information.

Abstract: A method for determining driving related features of a vehicle, the method may include: repeating, during each time interval out of multiple time intervals of a period; obtaining sensed information during at least a part of the time interval; receiving context information determined before the time interval; selecting, based on the context information, a selected sub-set of narrow artificial intelligence (AI) agents or calculating one or more driving related features. The calculating may include applying the selected sub-set of narrow AI agents on the sensed information; and determining, based on the sensed information, context information to used following the time interval.

Abstract: A method for configuring a configurable suspension, the method may include obtaining acquired sensed information that represent (a) one or more driving parameters of the vehicle, (b) one or more vehicle cabin disturbance parameters, (c) a configuration of a configurable suspension, and (d) a road segment that precedes the vehicle; selecting, out of multiple configurations of the configurable suspension, a selected configuration that one applied will attribute to obtain a desired human-in-vehicle comfort value; and triggering or requesting a setting of the configurable suspension to a configuration of the one or more configurations.

Abstract: A method that includes (a) monitoring a physiological state of a driver to provide physiological state information; (b) receiving or generating an indication about a dangerous event; (c) searching for a predicting physiological parameter that is associated with a predicting pattern that was indicative of an occurrence of the dangerous event; and (d) responding to the when finding of the predicting physiological parameter.

Abstract: A method for image processing at different illumination conditions, the method may include acquiring an image of an environment of a vehicle; selecting a set of pixels located within a region of interest that is located at an upper part of the image; calculating an illumination condition indicator based on values of the set of pixels; selecting a selected machine learning process, out of a machine learning processes, based on the illumination condition indicator; wherein different machine learning processes are trained to different illumination conditions; and processing the image by the selected machine learning process to provide processing results.

Abstract: Systems, and method and computer readable media that store instructions for motion based object detection. The method may include receiving or generating a video stream that comprises a sequence of images; generating image signatures of the images; wherein each image is associated with an image signature that comprises identifiers; wherein each identifier identifiers a region of interest within the image; generating movement information indicative of movements of the regions of interest within consecutive images of the sequence of images; searching, based on the movement information, for a first group of regions of interest that follow a first movement; wherein different first regions of interest are associated with different parts of an object; and linking between first identifiers that identify the first group of regions of interest.