Autobrains Technologies Ltd.

Alexander Dikman

Jonathan Cohen

Adi Gotliber

Igal Raichelgauz

Adam Harel

Boaz Mell

A method for lane detection, including A computer implemented method for lane detection, the method includes (a) receiving, at one or more processing circuits of a vehicle, a plurality of initial lane boundary estimates that represent lane boundaries within a road environment, the plurality of initial lane boundary estimates include (i) first lane boundary estimates and (ii) single-image based lane boundary estimates; wherein under one or more predefined conditions the single-image based lane boundary estimates are sent once per multiple images; and (a) generating, by the one or more processing circuits, real-world lane detection estimates based on the initial lane boundary estimates, the generating includes evaluating real-world distances between initial lane boundary estimates of the lane boundaries, the initial lane boundary estimates are associated with a same point of time.

Method for lane detection

A method for calculating a distance between a vehicle camera and an object, the method may include: (a) obtaining an image that was acquired by the vehicle camera of a vehicle; the image captures the horizon, the object, and road lane boundaries; (b) determining an initial row-location horizon estimate and a row-location contact point estimate, the contact point is between the object and a road on which the vehicle is positioned; (c) determining a vehicle camera roll angle correction that once applied will cause the lanes boundaries to be parallel to each other in the real world; (d) calculating a new row-location horizon estimate, wherein the calculating comprises updating the row-location horizon estimate based on the vehicle camera roll angle correction; and (e) calculating the distance between the vehicle camera based on a difference between the new row-location horizon estimate and the row-location contact point estimate.

Calculating a distance between a vehicle and objects

A method for cut in maneuver alert, the method may include receiving by a vehicle computerized system of a vehicle, one or more cut in maneuver predictors, each cut in maneuver predictor is (a) indicative of a predicted cut in maneuver initiated by another vehicle, and is (b) generated by a machine learning process; obtaining sensed information regarding an environment of the vehicle; processing the sensed information, wherein the processing comprises searching for a cut in maneuver predictor; and finding the cut in maneuver predictor.

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Tel Aviv, Israel

Alexander Dikman