Abstract: A car computer, a vehicle, a system and a method, the method comprising: receiving a request and response from a provider, a consumer or a trader to trade information; match the request and response to obtain an information trading deal; and providing details of the information trading deal to a computing platform adapted to be installed within a vehicle, the at least one computing platform configured to manage a blockchain comprising a block associated with the information trading deal.

Abstract: Methods, systems and computer program products for generating content for training a classifier, including: receiving two or more parts of a description, for each part, retrieving from an extracted feature collection library one or more extracted feature collections derived from one or more video frames, the extracted feature collections or the video frames labeled with a label associated with the part, thus obtaining a multiplicity of extracted feature collections, and combining the multiplicity of extracted feature collections to obtain a combined feature collection associated with the description, the combined feature collection to be used for training a classifier.

Abstract: A method designing computerized systems for a vehicle by a computing device comprising a processor and a memory device, and corresponding apparatus and computer program product, the method comprising: receiving indications to computerized components to be installed in a vehicle; displaying over a display device a three dimensional manipulatable model of the vehicle; receiving indications to locations within the car where the computerized components are to be installed, the indications provided as locations over the illustration; receiving indications to applications to be executed by a car computer, wherein the applications receive input from at least one of the computerized components; automatically determining the required computing resources and required utility components for supporting the computerized components and provisioning the applications; providing specific alternatives conforming with the computerized components; and receiving selections of specific computerized components from the specific alt

Abstract: A method, apparatus and computer program product for fusing information, to be performed by a device comprising a processor and a memory device, the method comprising: receiving one or more distance readings related to the environment from a Lidar device emitting light in a predetermined wavelength; receiving an image captured by a multi spectra camera, the multi spectra camera being sensitive at least to visible light and to the predetermined wavelength; identifying within the image points or areas having the predetermined wavelength; identifying one or more objects within the image; identifying correspondence between each of the light points or areas and one of the readings; associating the object with a distance, based on the reading and points or areas within the object; and outputting indication of the object and the distance associated with the at least one object.

Abstract: A method, system and computer program product for generating content for training a classifier, the method comprising: receiving two or more parts of a description; for each part, retrieving from an extracted feature collection library one or more extracted feature collections derived from one or more video frames, the extracted feature collections or the video frames labeled with a label associated with the part, thus obtaining a multiplicity of extracted feature collections; and combining the multiplicity of extracted feature collections to obtain a combined feature collection associated with the description, the combined feature collection to be used for training a classifier.

Abstract: A method, apparatus and computer program product, the method comprising: receiving sensory information from at least one sensor associated with a vehicle; determining partial hostility level associated with the at least one sensor or the sensory information; based on the hostility level, determining a change in operation of the at least one sensor or analysis of the sensory information; and adapting at least one configuration parameter of the sensor in accordance with the change, thereby reducing the hostility level.

Abstract: A car computer, a vehicle, a system and a method, the method comprising: receiving a request and response from a provider, a consumer or a trader to trade information; match the request and response to obtain an information trading deal; and providing details of the information trading deal to a computing platform adapted to be installed within a vehicle, the at least one computing platform configured to manage a blockchain comprising a block associated with the information trading deal.

Abstract: A method, apparatus and computer program product of determining a state of a vehicle driver, the method comprising: receiving an image of the driver captured by a hyper spectral camera capable of imaging body features invisible to a human; receiving telemetry information from a car telemetry system; analyzing the image to receive at least one indicator to a clinical parameter of the driver; and fusing the at least one indicator with the telemetry information to obtain an assessment to a stress level of the driver.

Abstract: A method, system and computer program product for generating content for training a classifier, the method comprising: receiving two or more parts of a description; for each part, retrieving from an extracted feature collection library one or more extracted feature collections derived from one or more video frames, the extracted feature collections or the video frames labeled with a label associated with the part, thus obtaining a multiplicity of extracted feature collections; and combining the multiplicity of extracted feature collections to obtain a combined feature collection associated with the description, the combined feature collection to be used for training a classifier.

Abstract: A method designing computerized systems for a vehicle by a computing device comprising a processor and a memory device, and corresponding apparatus and computer program product, the method comprising: receiving indications to computerized components to be installed in a vehicle; displaying over a display device a three dimensional manipulatable model of the vehicle; receiving indications to locations within the car where the computerized components are to be installed, the indications provided as locations over the illustration; receiving indications to applications to be executed by a car computer, wherein the applications receive input from at least one of the computerized components; automatically determining the required computing resources and required utility components for supporting the computerized components and provisioning the applications; providing specific alternatives conforming with the computerized components; and receiving selections of specific computerized components from the specific alt

Abstract: A method, apparatus and computer program product for fusing information, to be performed by a device comprising a processor and a memory device, the method comprising: receiving one or more distance readings related to the environment from a Lidar device emitting light in a predetermined wavelength; receiving an image captured by a multi spectra camera, the multi spectra camera being sensitive at least to visible light and to the predetermined wavelength; identifying within the image points or areas having the predetermined wavelength; identifying one or more objects within the image; identifying correspondence between each of the light points or areas and one of the readings; associating the object with a distance, based on the reading and points or areas within the object; and outputting indication of the object and the distance associated with the at least one object.

Abstract: A method, apparatus and computer program product of determining a state of a vehicle driver, the method comprising: receiving an image of the driver captured by a hyper spectral camera capable of imaging body features invisible to a human; receiving telemetry information from a car telemetry system; analyzing the image to receive at least one indicator to a clinical parameter of the driver; and fusing the at least one indicator with the telemetry information to obtain an assessment to a stress level of the driver.

Abstract: A method for identifying an optimal crossing point for concatenation of speech samples within an overlap area is provided. The method includes retrieving a first speech sample and a second speech sample, the second speech sample is concatenated immediately after the first speech sample is concatenated; determining a first region within the ending of the first speech sample and a second region within the beginning of the second speech sample, the first region and the second region are determined respective of relatively high spectral similarity over time between the first speech sample and the second speech sample; identifying an overlap region between the first region and the second region; determining an optimal crossing point between the first speech sample and the second speech sample, the optimal crossing point has a maximum correlation over time; and concatenating the first speech sample and the second speech sample at the optimal crossing point.

Abstract: A method for identifying an optimal crossing point for concatenation of speech samples within an overlap area is provided. The method includes retrieving a first speech sample and a second speech sample, the second speech sample is concatenated immediately after the first speech sample is concatenated; determining a first region within the ending of the first speech sample and a second region within the beginning of the second speech sample, the first region and the second region are determined respective of relatively high spectral similarity over time between the first speech sample and the second speech sample; identifying an overlap region between the first region and the second region; determining an optimal crossing point between the first speech sample and the second speech sample, the optimal crossing point has a maximum correlation over time; and concatenating the first speech sample and the second speech sample at the optimal crossing point.

Abstract: A system and method for supervised creation of a speech samples library for text-to speech synthesis are provided. The method includes tracking at least one speech unit in an existing speech samples library to determine if the existing speech samples library achieves a desired quality; receiving at least one speech sample; analyzing the at least one received speech sample to identify at least one speech unit necessitated to obtain the desired quality of the speech samples library; and storing the at least one necessary speech unit in the speech samples library.

Abstract: A method for generation of a prosody adjusted digital sound. The method comprises receiving at least a sensory signal from at least one sensor; generating a digital sound respective of an input text content and a text-to-speech content retrieved from a memory unit; and modifying the generated digital sound respective of the at least the sensory signal to create the prosody adjusted digital sound.

Abstract: The invention is a method of using Wavelet Transformation and Artificial Neural Network (ANN) systems for automatic detecting and classifying objects. To train the system in object recognition different images, which usually contain desired objects alongside other objects are used. These objects may appear at different angles. Different characteristics regarding the objects are extracted from the images and stored in a data bank. The system then determines the extent to which each inserted characteristic will be useful in future recognition and determines its relative weight. After the initial insertion of data, the operator tests the system with a set of new images, some of which contain the class objects and some of which contain similar and/or dissimilar objects of different classification.

Abstract: The invention is a method of using Wavelet Transformation and Artificial Neural Network (ANN) systems for automatic detecting and classifying objects. To train the system in object recognition different images, which usually contain desired objects alongside other objects are used. These objects may appear at different angles. Different characteristics regarding the objects are extracted from the images and stored in a data bank. The system then determines the extent to which each inserted characteristic will be useful in future recognition and determines its relative weight. After the initial insertion of data, the operator tests the system with a set of new images, some of which contain the class objects and some of which contain similar and/or dissimilar objects of different classification.