Systems and methods for situational behavior of an autonomous vehicle are disclosed. In one aspect, an autonomous vehicle includes at least one perception sensor configured to generate perception data indicative of at least one other vehicle on a roadway, a non-transitory computer readable medium, and a processor. The processor is configured to determine that the other vehicle is violating one or more rules of the roadway based on the perception data, tag the other vehicle as a non-compliant driver, and modify control of the autonomous vehicle in response to tagging the other vehicle as a non-compliant driver.

An automated method of controlling a speed of a vehicle includes identifying parameters of a driving instance of the vehicle; identifying a predetermined profile that is applicable to the driving instance based on the identified parameters; identifying a predetermined speed policy applicable to the driving instance based on the identified profile; and implementing the identified speed policy during the driving instance. The method may be repeated during the driving instance, whereby the speed policy that is implemented is automatically updated when one or more changes in the identified parameters cause a different predetermined speed policy to be identified. Parameter may include driver parameters (e.g., driver age and driver experience); vehicle parameters (e.g., vehicle age, mileage, and tire wear) tire maintenance information); behavior parameters (e.g., speed, acceleration, hard braking of the vehicle, following distance, swerving, and cornering); and circumstance parameters (e.g., time of day, road information, inclement weather, and traffic congestion).

Various embodiments include a method for operating a hybrid drive train for a motor vehicle having an output shaft from an internal combustion engine releasably connected to a shaft of an electric traction machine via a first clutch, wherein the shaft of the electric traction machine is releasably connected to a transmission input shaft via a second clutch. The method may comprise: determining a state parameter for the motor vehicle; and opening either the first clutch or the second clutch for a changeover to coasting operation of the hybrid drive train based on a function of one or more state parameters.

A vehicle control method of an autonomous vehicle for a right and left turn at a crossroad includes: determining whether a second vehicle intends to change a lane while passing a front or a rear of a first vehicle in order to move to a target lane for the right and left turn at the crossroad; controlling the first vehicle to decelerate when it is determined that the second vehicle intends to change the lane while passing the front of the first vehicle; determining whether the second vehicle is entering the first lane toward the front or the rear of the first vehicle; calculating a steering amount of the second vehicle when it is determined that the second vehicle is entering the first lane toward the front of the first vehicle; and controlling the first vehicle to decelerate according to the steering amount.

An autonomous driving system acquires information concerning a vehicle density in an adjacent lane that is adjacent to a lane on which an own vehicle is traveling, when the own vehicle travels on a road having a plurality of lanes. The autonomous driving system selects the adjacent lane as an own vehicle travel lane, when the vehicle density in the adjacent lane that is calculated from the acquired information is lower than a threshold density that is determined in accordance with relations between the own vehicle and surrounding vehicles. The autonomous driving system performs lane change to the adjacent lane autonomously, or propose lane change to the adjacent lane to a driver, when the adjacent lane is selected as the own vehicle travel lane.

A vehicle travel assistance method executed by a processor comprises: setting a travel lane in which a subject vehicle travels based on detection information of a sensor equipped in the subject vehicle, identifying a preceding vehicle traveling ahead of a subject vehicle based on detection information of a sensor, calculating, based on the detection information, a first evaluation value indicating a possibility that the subject vehicle can return to the travel lane from an adjacent lane adjacent to the travel lane after overtaking the preceding vehicle, calculating a shortening width of travel time shortened by overtaking the preceding vehicle based on the vehicle speed of the subject vehicle and the vehicle speed of the preceding vehicle, and determining whether or not to overtake the preceding vehicle based on the first evaluation value and the shortening width.

Driver safety, vehicle safety, and environment safety may be scored based on a variety of input data concerning a driver, a vehicle, or an environment in which the vehicle drives. An overall safety score may be generated based on at least some of these three scores. These scores may be compared to thresholds to trigger or initiate actions such as providing notifications to drivers, raising or reducing vehicle insurance rates, providing coupons and promotions to drivers, or limiting vehicle speed in a manner that is personalized to the driver and/or vehicle and/or environment.

A method for controlling a vehicle, an electronic device, a storage medium, and a vehicle are provided, related to a field of artificial intelligence technology, in particular to a field of autonomous driving and a field of computer vision. The method for controlling a vehicle includes: determining, in response to a request of switching to an autonomous driving mode, whether the vehicle is in a safe state; and controlling, in response to the vehicle being in the safe state, the vehicle to switch from a manual driving mode to the autonomous driving mode during travelling.

A driver assistance system for the automated longitudinal guidance of a motor vehicle detects a desired turning maneuver of the driver of the motor vehicle when the vehicle is in motion with automated longitudinal guidance, and reduces the speed of the motor vehicle in accordance with the detected turning maneuver.

A method for at least partially automated driving of a motor vehicle includes the steps of: determining that a need exists for infrastructure-based, at least partially automated driving of the motor vehicle, and transmitting, via a communication network, a request to transmit a plurality of infrastructure data based on which the motor vehicle is drivable in an at least partially automated manner, in response to determining that a need exists for infrastructure-based, at least partially automated driving of the motor vehicle. Receiving, via the communication network, the infrastructure data in response to transmitting the request. Generating a plurality of control signals for at least partially automated controlling of a lateral and/or a longitudinal operation of the motor vehicle based on the infrastructure data, and outputting the generated control signals.