Abstract: A system and method for determining a precise location based on multimedia content. The method includes: analyzing a multimedia content element (MMCE), wherein the analysis further includes generating at least one signature to the MMCE; matching the generated at least one signature to at least one reference concept stored in a database, wherein each of the at least one stored concept is associated with a predetermined precise location; and identifying, based on the matching, a precise location depicted in the MMCE.

Abstract: A method for detecting road elements that may include (a) detecting predefined identifiers of road elements, in road related information sensed by vehicles; (b) detecting potential identifiers of road elements that differ from the predefined identifiers of road elements, by processing road related information that was acquired by the vehicles during relevant time windows that are related to the detecting of the predefined identifiers; (c) finding actual identifiers of road elements out of the potential identifiers; wherein the findings is based, at least in part, on road related information that was acquired by the vehicles outside the relevant time windows; and (d) updating a database with the actual identifiers.

Abstract: A method and system for caching concept structures in a cache memory of a user computing device are provided. The method includes collecting at least one environmental variable related to a user of the computing device; retrieving at least one concept structure matching the at least one received environmental variable, each concept structure comprises a concept metadata associated with a plurality of multimedia content elements; and caching the at least one matching concept structure in the cache memory.

Abstract: A method for risk based processing, the method may include detecting, based on first sensed information sensed at a first period, a suspected risk within an environment of a vehicle; 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; selecting, from reference information, a suspected risk related subset reference information, wherein the potential risk related subset of the reference information is related to the potential risk; and determining whether the suspected risk is an actual risk, based at least on part on the suspected risk related subset reference information.

Abstract: A method for detecting fallen cargo, the method may include receiving by a computerized system, sensed information related to driving sessions of multiple vehicles; applying a machine learning process on the sensed information to detect fallen cargo and to classify the fallen cargo to fallen cargo classes; estimating, from the sensed information, an impact of at least some of the fallen cargo classes on a behavior of at least some of the multiple vehicles; and determining, based on the impact, at least one suggested vehicle behavior as a response to a detection of at least some of the fallen cargo classes.

Abstract: A method for tracking after an entity, the method may include tracking, by a monitor of a vehicle, a movement of an entity that appears in various images acquired during a tracking period; generating, by a processing circuitry of the vehicle, an entity movement function that represents the movement of the entity during the tracking period; generating, by the processing circuitry of the vehicle, a compressed representation of the entity movement function; and responding to the compressed representation of the entity movement function

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 safe transfer between manned and autonomous driving modes, the method may include detecting, based on first sensed information sensed during a first period, a situation related to an environment of the autonomous vehicle; searching for one or more matching concepts of a group of reference concepts, to which the situation belongs, each reference concept of the group represents a plurality of situations and has a reference concept safety level; wherein for each reference concept of at least a sub-group of the group of reference concepts the safety level of the reference concept is based on a tested success level of at only some of the plurality of scenarios represented by the reference concept; and determining, based on an outcome of the searching, whether the vehicle is capable to safely autonomously drive through the environment.

Abstract: V2V communication-less truck platooning.

Abstract: A method for driving a first vehicle based on information received from a second vehicle, the method may include receiving, by the first vehicle, acquired image information regarding (a) a signature of an acquired image that was acquired by the second vehicle, (b) a location of acquisition of the acquired image; extracting, from the acquired image information, information about objects within the acquired image; and preforming a driving related operation of the first vehicle based on the information about objects within the acquired image.

Abstract: A method for finding at least one trigger for human intervention in a control of a vehicle, the method may include receiving, from a plurality of vehicles, and by an I/O module of a computerized system, visual information acquired during situations that are suspected as situations that require human intervention in the control of at least one of the plurality of vehicles; determining, based at least on the visual information, the at least one trigger for human intervention; and transmitting to one or more of the plurality of vehicles, the at least one trigger.

Abstract: A method for determining a location of a vehicle, the method may include receiving reference visual information that represents multiple reference images acquired at predefined locations; acquiring, by a visual sensor of the vehicle, an acquired image of an environment of the vehicle; generating, based on the acquired image, acquired visual information related to the acquired image, wherein the acquired visual information comprises acquired static visual information that is related to the environment of the vehicle; searching for a selected reference image out of the multiple reference images, the selected reference image comprises selected reference static visual information that best matches the acquired static visual information; and determining an actual location of the vehicle based on a predefined location of the selected reference image and to a relationship between the acquired static visual information and to the selected reference static visual information; and wherein the determining of the actual

Abstract: An autonomous driving system for a vehicle comprising: an I/O module operative to communicate with an obstacle avoidance server; at least one sensor operative to provide at least an indication of an obstacle in a path of said vehicle; processing circuitry; and an autonomous driving manager to be executed by said processing circuitry and operative to: detect said at least an indication of an obstacle based on data provided by said at least one sensor, drive said vehicle in accordance with a driving policy associated with said obstacle, and send an obstacle report with obstacle information associated with said at least an indication of an obstacle to said obstacle avoidance server.

Abstract: A system and method for enriching a concept database. The method includes determining, based on signatures of a first multimedia content element (MMCE) and signatures of a plurality of existing concepts in the concept database, at least one first concept, wherein each first concept is one of the plurality of existing concepts matching a portion of the first MMCE; generating a reduced representation of the first MMCE, wherein the generation of the reduced representation includes removing the at least one portion of the first MMCE matching the determined at least one first concept; comparing the reduced representation to signatures representing a plurality of second MMCEs to determine a plurality of matching second MMCEs; generating, based on the reduced representation and the plurality of matching second MMCEs, at least one second concept; and adding the generated at least one second concept to the concept database.

Abstract: A method for estimating a potential blind spot event related to a potential blind spot of a first vehicle, the method may include detecting, using at least one sensor of a second vehicle, the first vehicle and a spatial relationship between the first vehicle and the second vehicle; estimating, based on at least one blind spot parameter of the first vehicle, an occurrence of the potential blind spot event; wherein the potential blind spot event occurs when the second vehicle is within a potential blind spot of the first vehicle or is about to enter the potential blind spot of the first vehicle; and responding to the estimated occurrence of the potential blind spot event.

Abstract: A method for detecting obstacles, the method may include receiving, from a plurality of vehicles, and by an I/O module of a computerized system, visual information acquired during executions of vehicle maneuvers that are suspected as being obstacle avoidance maneuvers; determining, based at least on the visual information, at least one visual obstacle identifier for visually identifying at least one obstacle; and transmitting to one or more of the plurality of vehicles, the at least one visual obstacle identifier.

Abstract: A system and method for generating a facial representation. The method includes identifying, via at least one data source, at least one multimedia content element; generating at least one signature for at least a portion of each identified multimedia content element, wherein each generated signature represents at least one facial concept; analyzing the generated signatures to determine a cluster of signatures of facial concepts; and generating, based on the cluster of facial concept signatures, a facial representation.

Abstract: A method for detecting obstacles, the method may include receiving, from a plurality of vehicles, and by an I/O module of a computerized system, visual information acquired during executions of vehicle maneuvers that are suspected as being obstacle avoidance maneuvers; determining, based at least on the visual information, at least one visual obstacle identifier for visually identifying at least one obstacle; and transmitting to one or more of the plurality of vehicles, the at least one visual obstacle identifier.

Abstract: A system and method for speech-to-text translation. The method includes determining, based on at least one audio input in a first language, at least one original language concept; identifying, based on the determined at least one original language concept, the first language of the at least one audio input; determining, for each original language concept, a matching translated concept, wherein each matching translated concept is associated with a second language, wherein the second language is different from the first language; generating a textual output based on the determined at least one translated concept.

Abstract: A system and method for providing augmented reality challenges. The method includes obtaining at least one multimedia content element; causing generation of at least one signature for each obtained multimedia content element; determining, based on the generated signatures, at least one augmented reality challenge; identifying, based on the determined at least one augmented reality challenge, at least one augmented reality object; creating at least one challenge multimedia content element by causing addition of the at least one augmented reality object to the obtained at least one multimedia content element; and causing a display of the created at least one challenge multimedia content element.