A driving assist method minimizes an incidence of lane changing within a circulatory roadway. In this driving assist method, a recognition assessment processor assesses the travel of a host vehicle, calculates a travel route over which the host vehicle is to travel, and executes a driving assist control based on the travel route. The recognition assessment processor further assesses whether the host vehicle has arrived at a roundabout having a circulatory roadway to which three or more radial roadways are connected. When an assessment has been made that the host vehicle has arrived at the roundabout, a position of a host vehicle entrance and a position of a host vehicle exit are specified. Furthermore, an entrance position is set based on a positional relationship between the host vehicle entrance and the host vehicle exit.

A cruise control method and system, and a vehicle, the method being applied to a first vehicle. When the first vehicle is driving in a first lane, before the first vehicle enters from the first lane into a preset recognition region to thereby complete vehicle identity recognition in the preset recognition region, the cut-in probability of a second vehicle cutting into the first lane can be predicted according to a movement parameter of the second vehicle that is in an adjacent second lane, and it is determined, according to the cut-in probability and the stopping time of the first vehicle, whether to brake to stop the first vehicle; therefore, during the process of controlling the first vehicle to pass through the preset recognition region, the driver is not required to temporarily take over control of the first vehicle.

There is provided a method for preventing car collision, the method comprising: obtaining information about a vehicle stopped in front of a preceding vehicle acquired by the preceding vehicle; calculating a deceleration amount for preventing a collision with the stopped vehicle based on the information about the stopped vehicle; predicting a preset event related to the preceding vehicle based on a change in the position of the preceding vehicle; and controlling an autonomous driving vehicle based on the deceleration amount according to a prediction result.

A driver assistance system for automated longitudinal guidance of a motor vehicle configured to detect at least one turning opportunity for the motor vehicle, and to reduce the speed of the motor vehicle in accordance with the at least one detected turning opportunity.

Location polygons are defined along traffic lanes and parking spaces to facilitate determination of the location of a vehicle relative to features associated with the location polygons. The location polygons are used, in one application, to identity entrance and exit of a special toll lane along a roadway, and to ensure that the vehicle properly enters and exits the tolling lane.

A vehicle control method includes recognizing a periphery of a vehicle, a first vehicle and a second vehicle present in the periphery, setting a target area between the first vehicle and the second vehicle based on a reference position of a first type of the first vehicle present in a lane of a lane change destination and a reference position of the first type of the second vehicle behind the first vehicle and present in the lane, and controlling the vehicle to enter the target area set based on a reference position of a second type of the first vehicle and a reference position of the second type of the second vehicle.

A method for traffic light auto-labeling includes aggregating vehicle-to-infrastructure (V2I) traffic light signals at an intersection to determine transition states of each driving lane at the intersection during operation of an ego vehicle. The method also includes automatically labeling image training data to form auto-labeled image training data for a traffic light recognition model within the ego vehicle according to the determined transition states of each driving lane at the intersection. The method further includes planning a trajectory of the ego vehicle to comply with a right-of-way according to the determined transition states of each driving lane at the intersection according to a trained traffic light detection model. A federated learning module may train the traffic light recognition model using the auto-labeled image training data during the operation of the ego vehicle.

A method of determining a drivable space trajectory of an ego vehicle is described. The method includes determining a set of vehicle trajectories corresponding to a same semantic driving maneuver during motion planning of the ego vehicle. The method also includes identifying the drivable space trajectory to perform the same semantic driving maneuver. The method further includes performing a vehicle control action to maneuver the ego vehicle along the drivable space trajectory.

A vehicle control device controls travel of a vehicle by performing state transition for a plurality of control states having different driving assistance levels based on vehicle surrounding information. The vehicle control device comprises: an acquisition unit configured to acquire the vehicle surrounding information; and a control unit configured to control the state transition and braking operation of the vehicle based on the information acquired by the acquisition unit, wherein, based on the information, the control unit is configured to transition from a first control state set for travel of the vehicle to a second control state with a lower driving assistance level in a case where it is determined that another vehicle is crossing a lane line in front of the vehicle in a lane where the vehicle is traveling.

An autonomous vehicle (AV) includes features that allows the AV to comply with applicable regulations and statues for performing safe driving operation. Example embodiments disclosed herein provide enhanced high-precision operation of an AV in low-speed environments, such as a toll booth facility or heavy traffic. One example method disclosed herein includes a control computer identifying a starting point of the toll booth facility on the roadway and a plurality of toll lanes associated with the toll booth facility; selecting a particular toll lane; determining a trajectory for the AV that extends through the particular toll lane; and in response to the autonomous vehicle arriving at the starting point for the toll booth facility, transmitting, over a subsystem interface to one or more drive subsystems of the AV, instructions configured to cause the drive subsystems to operate together to cause the AV to travel according to the trajectory.