Cortica Ltd.

Autobrains Technologies Ltd.

Cartica Ai Ltd.

Other

Cartica Al Ltd.

Igal Raichelgauz

Karina Odinaev

Yehoshua Y Zeevi

Adam Harel

Boaz Mell

Karina Ordinaev

Roi Saida

Eli Passov

Isaac Misri

Armin Biess

Kirill Dyagilev

Adrian Kaho Chan

Julius Engelsoy

Omer Jackobson

Tomer Cohen

Lior Eldar

Tomer Livne

Idan Geller

Alexander Dikman

Ruth Bernstein

A method for bump alert, the method may include receiving by a vehicle computerized system, at least one visual bump indicator that is visible before driving over at least one bump; obtaining sensed information regarding an environment of the vehicle; processing the sensed information, wherein the processing comprises searching a visual bump indicator of the at least one visual bump indicator; determining whether the vehicle approaches a bump; and generating the bump alert when determining that the vehicle approaches the bump.

Bump alert

A method for off road driving, the method may include obtaining environment sensed information about an environment of a vehicle of a certain model, by one of more vehicle sensors of the vehicle and while driving over an off road path; detecting, by a machine learning process, an off road driving event; determining, by the machine learning process, a characteristic behavior of vehicles of the certain model when facing the off road driving event; and responding, at least in part by the machine learning process, to the occurrence of the off road driving event.

Off road assistance

A method for communicating with a driver of a vehicle, the method includes (i) obtaining object information regarding one or more objects located within an environment of the vehicle; (ii) analyzing the object information; (iii) determining, by using one or more neural network (NNs), and based on the object information, a virtual force associated with a physical model and representing an impact of the one or more objects on a behavior of the vehicle; and (iv) determining, based on at least the virtual force, a force feedback for use in providing a physical restraining force to be applied in association with a driver action made by the driver using the vehicle.

Virtual fields driving related operations

A method for bypass alert, the method includes (i) obtaining sensed information about an environment of the vehicle, by one of more vehicle sensors of a vehicle. The environment of the vehicle includes a passing lane and a current lane; (ii) determining whether a driver initiates a bypass of another vehicle to be bypassed, by a first machine learning process (MLP), based on at least one out of vehicle parameters and the sensed information (iii) determining that the vehicle entered the passing lane; (iv) determining, by a second (MLP), a determined time to collision (TTC) to an incoming vehicle that is located at the passing lane and drives towards the vehicle; (v) determining, based on at least on the determined TTC and an allowable TTC to provide a safety parameter of the bypass; and (vi) responding to the safety parameter.

Bypass assistance

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.

Alerting on driving affecting signal

A method for intersection assistance, the method may include obtaining sensed information regarding an environment of the vehicle; determining an occurrence of an intersection related situation, based on the sensed information; generating one or more intersection driving related decisions; wherein the generating comprises processing, by one or more narrow AI agents of a group of narrow AI agents, at least one out of (a) at least a first part of the sensed information, and (b) an outcome of a pre-processing of at least a second part of the sensed information; and responding to the one or more intersection driving related decisions; wherein the responding comprises at least one out of (a) executing the one or more intersection driving related decisions, and (b) suggesting executing the one or more intersection driving related decisions.

Ensemble of narrow AI agents for intersection assistance

A method for real time management of detected issues, the method includes producing, by a classification unit having a neural network, a classification decision for sensed information obtained in an environment of a vehicle; generating, by one or more computing devices with auto-labeling capabilities, an automated ground truth labeling for the sensed information; detecting, by the one or more computing devices and based on a performance indication related to the automated ground truth labeling, an issue with respect to the classification decision; and responsive to the detecting, addressing the detected issue in a driving in the environment of the vehicle by a computer device associated with the vehicle, using a signature generated in association with at least the classification decision or with the detected issue. The neural network is in a same state in the producing of the classification decision, the detecting the issue, and the addressing the detected issue.

Real time management of detected issues

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.

Prediction of pedestrian entering the drivable space

A method for automatically identifying faulty signatures for autonomous driving applications, the method includes receiving, by a processing circuit, a signature; matching the signature to a group of first signatures that are untagged and are randomly obtained; identifying, based on the matching, first top matching signatures; matching the signature to a group of second signatures that are untagged and are correctly or erroneously indicative of a detection of reference elements; identifying, based on the matching of the signature to the second group of second signatures, second top matching signatures; determining an overlap between the first top matching signatures and the second top matching signatures; and determining whether the signature is faulty or faultless based on the overlap.

Automatically identifying faulty signatures for autonomous driving applications

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.

Cabin preferences setting that is based on identification of one or more persons in the cabin

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.

Camera based distance measurements

A method for generating at least one construction area indicator, the method may include receiving by a vehicle computerized system, construction area indicators; wherein a construction area indicator is indicative of a construction area element; obtaining sensed information regarding an environment of the vehicle; processing the sensed information, wherein the processing comprises searching for one or more construction area indicators of the construction area indicators; wherein the construction area element is selected out of (i) a construction area object and (ii) a construction area situation; autonomously determining, when finding at least one of the one or more construction area identifiers, that the vehicle is driving towards a construction area or is within the construction area; and generating an alert when determining that the vehicle is driving towards the construction area or is within the construction area.

Construction area alert for a vehicle based on occurrence information

There may be provided a method for electrical scooter alert, the method may include sensing sensed information about an environment of a vehicle; detecting, based on the sensed information, a situation related to the environment; detecting, based on the sensed information, a electrical scooter within the environment; predicting, using a machine leaning process and based in the situation, a future behavior of the electrical scooter and an impact of the future behavior of the electrical scooter on a future progress of the vehicle; and responding to the predicting.

Electrical scooter alert

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.

Situation based processing

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 generating another driver perceivable indicator that is indicative of the evaluating.

Growing community of inventors

Tel Aviv, Israel

Igal Raichelgauz