A driving support system includes: an acquisition portion configured to acquire visual-recognition position information on a position where a driver of a vehicle visually recognizes a traffic light; an image acquisition portion configured to acquire a forward image ahead of the vehicle; a traffic-light recognition portion configured to recognize a traffic light included in a forward image; and a notification portion configured to notify the driver of warning when the traffic light is not recognized from the forward image, in a case where the vehicle is present at a position based on the visual-recognition position information.

A smart cruise control (SCC) system based on complex information and a method of controlling the same. The method includes setting an SCC user-setting speed as a vehicle speed when an SCC function is turned on, driving a vehicle at the set vehicle speed, deriving vehicle speed limit information of a road section in which the vehicle is travelling from navigation speed limit information, road sign speed limit information, and surrounding vehicle speed information of the road section, and controlling the vehicle speed on the basis of the derived vehicle speed limit information.

A vehicle control apparatus includes a recognizer which is configured to recognize a surrounding environment of a host vehicle and a driving controller which is configured to perform automated driving on the basis of a recognition result of the recognizer, wherein the driving controller is configured to perform passing control of causing the host vehicle to pass a preceding vehicle if at least one of a first condition according to a relative speed of the host vehicle with respect to the preceding vehicle and a second condition according to a type of the preceding vehicle is satisfied when the recognizer recognizes the preceding vehicle, and is configured to curb the passing control by changing at least one of the first condition and the second condition when a continuity of a first route on which the host vehicle is traveling decreases.

A method for automatically setting an operating mode of a hybrid vehicle includes determining whether a distance to the destination is greater than a purely electrically travellable range of the hybrid vehicle, wherein the hybrid vehicle is automatically put into a hybrid mode if the distance to the destination is greater than the purely electrically travellable range of the hybrid vehicle, and the hybrid vehicle is automatically put into a purely electrical drive mode if the distance to the destination is not greater than the purely electrically travellable range of the hybrid vehicle. A corresponding control device and hybrid vehicle are also disclosed.

The present disclosure provides a method and device for predicting a motion track of an obstacle and an autonomous vehicle, and relates to the technical field of autonomous driving, so as to at least solve the technical problem of low prediction precision of a motion track of an obstacle in an interaction scene. A specific implementation solution includes: environment information in a target scene, historical state information of a target obstacle and track planning information of a target vehicle are obtained, and the target obstacle is a potential interaction object of the target vehicle; and a motion track of the target obstacle is predicted based on the environment information, the historical state information and the track planning information.

A method for controlling a vehicle is provided. The vehicle includes an image capturing device. The method includes: controlling the image capturing device to collect an image of a scene where the vehicle is located; acquiring projection information of a projection pattern in the image; determining image-altering information corresponding to the projection pattern according to the projection information; and controlling movement of the vehicle according to the image-altering information.

A method for providing a situational awareness interface for an occupant of an automated vehicle is provided. The method includes: generating a vehicle route graphic that displays a street level map of an area that includes a current location of the vehicle and an intended destination of the vehicle along with a visual depiction of a planned route and one or more alternate routes for the vehicle; determining a probability of requiring assistance or interaction and an estimated time of arrival for each of the planned route and the one or more alternate routes; providing a visual indication of the probability of requiring assistance or interaction and the estimated time of arrival for each of the planned route and the one or more alternate routes on the vehicle route graphic; and signaling a display device to display the vehicle route graphic.

The present disclosure relates to an autonomous vehicle and a method for traveling thereof. A travel situation is determined based on vehicle surroundings information during autonomous driving, a space around the vehicle is classified into a first space, a second space, and a third space based on the vehicle surroundings information, a travel route is created using at least one of the first space, the second space, and/or the third space based on the travel situation, and vehicle travel control is performed along the travel route.

Methods and systems for a powertrain power management in a vehicle with an electric motor, and an engine are disclosed. The methods and systems involve a powertrain that is operatively coupled to the engine and the electric motor, and an optimizer module operatively coupled to the powertrain. The optimizer module receives an operator information to travel a route from a remote management module, receives current route information for the route from a mapping application in response to the operator information, measures current vehicle status information for the hybrid vehicle, and decides a power management strategy for the vehicle based on the current route information and the current vehicle status information.

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.