Abstract: 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.

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

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

Abstract: A method for generating the at least one highway exit indicator, the method may include receiving video information and location information obtained during driving sessions of the plurality of vehicles; determining, based on the location information, multiple suspected highway exit events; selecting video information segments, wherein each selected video information segment is acquired before a suspected highway exit event and in timing proximity to the suspected highway exit event; and applying a machine learning process on at least some of the selected video information segments to find the at least one highway exit indicator.

Abstract: 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.

Abstract: A method for bypass alert, the method may include obtaining during a driving session of a vehicle, sensed information about an environment of the first vehicle, by one of more vehicle sensors of the vehicle; detecting that the vehicle is within a certain distance from a destination of the driving session; detecting, using a first machine learning process, one or more parking indicators that are indicative of an allowable parking area that precedes the vehicle; detecting a vacant parking space within the parking area that is large enough to facilitate a parking of the vehicle within the vacant parking space; and responding to the vacant parking space.

Abstract: A method for pedestrian crossing alert, the method may include receiving, by a vehicle computerized system, pedestrian crossing indicators; obtaining sensed information regarding an environment of the vehicle; processing the sensed information, wherein the processing comprises searching for at least one of the pedestrian crossing indicators; autonomously determining, when finding the at least one of the pedestrian crossing identifiers, that the vehicle is approaching a pedestrian crossing; and generating an alert when determining that the vehicle is approaching the pedestrian crossing.

Abstract: A method for bypass alert, the method may include obtaining during a driving session of a vehicle, sensed information about an environment of the first vehicle, by one of more vehicle sensors of the vehicle; detecting that the vehicle is within a certain distance from a destination of the driving session; detecting, using a first machine learning process, one or more parking indicators that are indicative of an allowable parking area that precedes the vehicle; detecting a vacant parking space within the parking area that is large enough to facilitate a parking of the vehicle within the vacant parking space; and responding to the vacant parking space.

Abstract: 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.

Abstract: 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.

Abstract: 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.

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

Abstract: A method for pedestrian crossing alert, the method may include receiving, by a vehicle computerized system, pedestrian crossing indicators; obtaining sensed information regarding an environment of the vehicle; processing the sensed information, wherein the processing comprises searching for at least one of the pedestrian crossing indicators; autonomously determining, when finding the at least one of the pedestrian crossing identifiers, that the vehicle is approaching a pedestrian crossing; and generating an alert when determining that the vehicle is approaching the pedestrian crossing.

Abstract: 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.

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

Abstract: A method for child forward collision warning, 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, one or more children within the environment; classifying each child of the one or more children to a class; predicting, using a machine leaning process, a future behavior of the one or more children and an impact of the future behavior of the one or more children on a future progress of the vehicle; wherein the predicting of each child of the one or more children is responsive to a class of the child and to the situation; and responding to the predicting.

Abstract: A method for following a person associated with a vehicle, the method may include entering a tracking mode for following the person; when operating in the tracking mode performing at least one out of: autonomously driving an autonomous vehicle towards the person and parking in proximity to the person, and autonomously driving towards the person and picking up the person.

Abstract: A method for open door steer assist, the method may include receiving by a vehicle computerized system, at least one future open door predictor that is indicative of a future vehicle door opening process, the future open door predictor is generated by a machine learning process and is visible before a start of an opening of the vehicle door and before reaching the vehicle door; wherein each of the at least one future open door predictor is sensed before a start of the future vehicle door opening process; obtaining sensed information regarding an environment of the vehicle; processing the sensed information, wherein the processing comprises searching for a future open door predictor of the at least one future open door predictor; and detecting the future open door predictor.

Abstract: A method for bypass alert, 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 whether a driver initiates a bypass of another vehicle to be bypassed, wherein the determining is made by a first machine learning process, and is based on at least one out of first vehicle parameters and the sensed information about the environment; determining that the first vehicle entered the passing lane; determining, by a second machine learning process, a determined time to collision (TTC) to an incoming vehicle that is located at the passing lane and drives towards the first vehicle; determining, based on at least on the determined TTC and an allowable TTC to provide a safety parameter of the bypass; and responding to the safety parameter.

Abstract: A method for generating the at least one highway exit indicator, the method may include receiving video information and location information obtained during driving sessions of the plurality of vehicles; determining, based on the location information, multiple suspected highway exit events; selecting video information segments, wherein each selected video information segment is acquired before a suspected highway exit event and in timing proximity to the suspected highway exit event; and applying a machine learning process on at least some of the selected video information segments to find the at least one highway exit indicator.