Abstract: A method for unsupervised learning of drivable space, the method may include receiving, by a processing circuit, an image of an environment of a vehicle; searching, in the image and by the processing circuit, for a drivable space within the environment of the vehicle, wherein the drivable space is associated with a statistically significant drivable space behavior; wherein the association is learnt by applying an unsupervised learning process; and responding, by the processing circuit, to a finding of the drivable space.

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 detecting faulty manufactured items, the method includes segmenting an image of the evaluated MI to provide different groups of evaluated MI patches, generating evaluated MI patches representations (EMIPRs) for the evaluated MI patches of the different groups of evaluated MI patches; matching the EMIPRs to reference MI patches representations (RMIPRs) of reference MI patches, to provide comparison results; wherein the reference MI patches are selected from reference MI patches candidates, based on at least one of (a) a popularity of reference MI patch candidates representations or (b) feedback from a person; wherein reference MI patches of the different groups of reference MI patches differ from each other by one or more reference MI patch attribute; and determining a state of the evaluated manufactured item based on the comparison results.

Abstract: A method for detecting faulty manufactured items based on natural language descriptions (NLDs), the method may include: (i) obtaining one or more neural networks (NNs) that are trained to detect objects that exhibit one or more textual features of a group of textual features; wherein members of the group are defined by NLDs; wherein the one or more NNs are trained on one or more training datasets, the training datasets are not based on sensed information units (SIUs) of the manufactured items; (ii) receiving a SIU that captures an evaluated manufactured item (EMI); (iii) processing the SIU of the EMI by the one or more NNs, to provide one or more NN processing results regarding one or more relationships between the EMI and the one or more textual features; and (iv) determining a status of the EMI, based on one or more decision rules and the one or more NN processing results.

Abstract: A method for unregulated pedestrian step down (PSD) alert, the method may include (i) receiving, by a vehicle computerized system, a unregulated PSD indicators that are indicative of unregulated PSD situations; (ii) obtaining sensed information regarding an environment of the vehicle; (iii) processing the sensed information, wherein the processing comprises searching for at least one of the unregulated PSD indicators; and (iv) autonomously determining, when finding the at least one of the unregulated PSD identifiers, that the vehicle is approaching a situation in which a pedestrian is expected to step down into a drivable space within the environment of the vehicle. Wherein the autonomously determining triggering a response to the finding, the response is an immediate response and is executed by at least the vehicle computerized system.

Abstract: A method that may include receiving driving information and environmental metadata indicative of information sensed by the vehicle; detecting multiple driving events encountered during the driving over the path; determining driving events; for each driving event, determining a comfort based autonomous driving pattern information; for each driving event, determining an driving event identifier; and storing in at least one data structure a driving event identifier for each one of the multiple types of driving events, and a comfort based autonomous driving pattern information.

Abstract: A method for situation aware processing, the method may include detecting a situation, based on first sensed information at a first period; selecting, from reference information, a situation related subset of the reference information, wherein the situation related subset of the reference information is related to the situation; and performing, by a situation related processing unit, a situation related processing, wherein the situation related processing is based on the situation related subset of the reference information and on second sensed information sensed at a second period, wherein the situation related processing comprises at least one out of object detection and object behavior estimation.

Abstract: A method for lane departure assistance, the method may include obtaining sensed information about an environment of the first vehicle, by one of more vehicle sensors of a first vehicle; wherein the environment of the first vehicle comprises a passing lane and a current lane in which the first vehicle is positioned; determining, by a computer of the first vehicle, whether the first vehicle can successfully and lawfully bypass a second vehicle; wherein the determining is executed before starting the bypass of the second vehicle and is based on the sensed information, one or more driving laws, and one or more first vehicle mechanical parameters; generating a driver perceivable indicator that is indicative of the determining; sensing that the driver initiates a bypass of the second vehicle; evaluating, following the start of the bypass of the second vehicle and during at least a majority of the bypass, whether the first vehicle can successfully and lawfully complete the bypass of the second vehicle; and generatin

Abstract: A method for providing a prediction of a radius of a motorcycle turn, the method may include determining that the motorcycle is about to turn; predicting values of multiple radius of turn impacting (RTI) parameters; wherein the multiple RTI parameters are selected out of a group of parameters, wherein the selection was made during a machine learning training process, and the group of parameters comprises motorcycle kinematic parameters; determining, based on the determined values of the multiple RTI parameters, the estimated radius of the motorcycle turn; and performing a driving related operation based on the estimated radius of the motorcycle turn.

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 providing an audio-based model of an environment of a vehicle, the method may include obtaining, during a driving session of a vehicle, sensed information about the environment of the vehicle; wherein the sensed information may include sensed audio information. The sensed information may also include at least one type of non-audio sensed information; and generating an audio-based model of the environment based, at least in part, on the sensed audio information.

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 for unregulated pedestrian step down (PSD) alert, the method may include (i) receiving, by a vehicle computerized system, a unregulated PSD indicators that are indicative of unregulated PSD situations; (ii) obtaining sensed information regarding an environment of the vehicle; (iii) processing the sensed information, wherein the processing comprises searching for at least one of the unregulated PSD indicators; and (iv) autonomously determining, when finding the at least one of the unregulated PSD identifiers, that the vehicle is approaching a situation in which a pedestrian is expected to step down into a drivable space within the environment of the vehicle. Wherein the autonomously determining triggering a response to the finding, the response is an immediate response and is executed by at least the vehicle computerized system.

Abstract: A method for A method for operating an ensemble of narrow AI agents related to a manufactured item (MI), the method includes obtaining one or more images of an evaluated MI; determining, by a relevancy determination unit and based on the one or more images, one or more relevant narrow AI agents of the ensemble that are relevant to a processing of the one or more images; wherein the ensemble is relevant to a first plurality of MI states; processing the one or more images, by the one or more relevant narrow AI agents, to provide one or more narrow AI agent MI related outputs; wherein each narrow AI agent is relevant to a respective fraction of the first plurality of MI states; and processing, by a MI evaluation unit, the one or more narrow AI agent MI related outputs decisions to provide an MI related evaluation.

Abstract: A method for motorcycle roll angle robust object detection, the method includes receiving, by a processing circuit, an image of an environment of the vehicle, wherein the image was obtained by a camera associated with a motorcycle; and generating, by the processing circuit, a signature of the image; finding, by the processing circuit, using the generated signature, a matching concept data structure out of multiple concept data structures; wherein the multiple concept data structure represents images acquired at multiple roll angles of a field of view of the camera; and detecting, by the processing circuit, within the image, an object or a scenario that is associated with the matching concept data structure.

Abstract: A method for driving related applications based on aerial images. The method includes (i) determining, by a processor, based on aerial map segment information and sensed environmental information, a driving control action in association the vehicle within at least the environment of the location estimate of the vehicle; (ii) determining, based on the sensed environmental information and according to the aerial map segment information, whether to perform the driving related operation within at least the environment of the location estimate of the vehicle; and (iii) responsive to determining the performance of the driving related operation, outputting information regarding the driving related operation to a control system of the vehicle.

Abstract: There may be provided a method for block chain based facial recognition, the method may include receiving a request, by a controller and from a requesting entity, to utilize a facial recognition service that is block chain based; determining, by the controller, whether to fulfil the request or to reject the request; utilizing the facial recognition service to provide a response to the request and outputting the response when determining to fulfill the request; and rejecting the request when determining to reject the request.

Abstract: A method for associating a link to web content with a multimedia content element are provided. The method includes identifying at least one multimedia content element in a web-page; generating, by a signature generator system, a signature for the at least one multimedia content element, wherein the signature generator system includes a plurality of computational cores enabled to receive the multimedia content element and to generate a signature for at least a portion of the multimedia content element, each computational core having properties that are at least partly statistically independent of the other computational cores; matching the generated signature to signatures of web content existing on at least one web server to determine matching web content; determining a link to the matching web content; and modifying the at least one multimedia content by adding the link.

Abstract: An apparatus for identification of an input data against one or more learned signals is provided. The apparatus comprising a number of computational cores, each core comprises properties having at least some statistical independency from other of the computational, the properties being set independently of each other core, each core being able to independently produce an output indicating recognition of a previously learned signal, the apparatus being further configured to process the produced outputs from the number of computational cores and determining an identification of the input data based the produced outputs.

Abstract: A method for passing a curve, the method may include sensing, by a vehicle sensor, environment information regarding an environment of the vehicle; sensing at least one current propagation parameter of the vehicle; detecting, based on at least the environment information, (a) that the vehicle is about to reach the curve, (b) one or more first road conditions of a first road segment that precedes the curve; determining one or more curve passing propagation parameters to be applied by the vehicle while passing the curve, wherein the determining is based, at least in part, on the one or more first road conditions and on the at least one current propagation parameter; and responding to the determining.