If an external environment recognition unit recognizes another vehicle that is positioned along a travel lane, an offset setting unit sets an offset amount in a direction of separating a host vehicle from the other vehicle. The offset setting unit sets the offset amount (predetermined amount) to be smaller in a case where the external environment recognition unit identifies the other vehicle as a streetcar, than the offset amount (predetermined amount) in a case where the external environment recognition unit identifies the other vehicle as an vehicle other than the streetcar.

An automatic driving assist apparatus for a vehicle includes: a map information storage unit; an own vehicle position estimator; a route information input unit; a traveling route setting unit; a target path setting unit configured to set a target path to a center of a traveling lane; a road condition acquirer; and an automatic driving controller. The automatic driving controller further includes a branch lane determiner and a target path lateral position change amount calculator. The target path setting unit corrects the target path with a lateral position change amount calculated by the target path lateral position change amount calculator, to set a new target path.

A vehicle control system includes a computer including a processor and a memory storing instruction executable by the processor to, in response to detecting hands being off a steering wheel for a threshold time while a lane-centering assist operation is active, steer a vehicle including the steering wheel from a center of a lane to a lateral position between the center of the lane and an edge of the lane; then steer the vehicle from the lateral position to the center of the lane; and then maintain the vehicle at the center of the lane.

A control system of a vehicle that can travel in a first state in which travel control is performed based on a position of a white line on a travel lane and in a second state in which travel control is performed based on a travel position of another vehicle, includes: an obtainment unit configured to obtain periphery information of the vehicle; a determination unit configured to determine, based on the periphery information obtained by the obtainment unit, that an emergency vehicle is approaching; and a control unit configured to perform control so that the travel control by the first state is prioritized when the determination unit determines that the emergency vehicle is not approaching, and so that the travel control by the second state is prioritized when the determination unit determines that the emergency vehicle is approaching.

A method for receiving autonomous vehicle (AV) driving path data associated with a driving path in a roadway of a geographic location. The driving path data associated with a trajectory for an AV in a roadway and trajectory points in a trajectory of the driving path in the roadway for determining at least one feature of the roadway positioned a lateral distance from a first trajectory of the one or more trajectories of the driving path of an AV based on the map data. The method includes receiving map data associated with a map of a geographic location, determining a driving path for an AV in a roadway, generating driving path information based on a trajectory point in a trajectory of the driving path, and providing driving path data associated with the driving path to an AV for controlling the AV on the roadway.

The present application relates to a method and apparatus including a sensor for detecting a first acceleration of a target vehicle at a first time and a second acceleration of the target vehicle at a second time, a processor operative to calculate an increased distance in response to the first acceleration and the second acceleration exceeding an acceleration threshold, the processor further operative to generate a control signal indicative of the increased distance, and a vehicle controller for controlling a vehicle throttle controller and a vehicle steering controller to maintain an initial distance between the host vehicle and the target vehicle and to maintain the increased distance between the host vehicle and the target vehicle in response to the control signal.

A navigation system includes a processor programmed to receive, from a sensor, an output related to a motion of the host vehicle. The output is generated at a first time that is later than a data acquisition time, when a measurement or data acquisition on which the output is based is acquired, and earlier than a second time at which the sensor output is received processor; generate, for a motion prediction time, a prediction of at least one aspect of host vehicle motion based, on the output and how the aspect of host vehicle motion changes over a time interval between the data acquisition time and the motion prediction time; determine a navigational action for the host vehicle; generate a navigational command for implementing at least a portion of the navigational action; and provide the navigational command to at least one actuation system of the host vehicle.

In accordance with one aspect of the present disclosure, a vehicle controls a vehicle includes: acquiring a direction and a distance value of the obstacle as position information of the obstacle based on radar data received through at least one of a plurality of reception channels corresponding to the angular resolution in the lateral direction of an obstacle detector, identifies a collision point that may collide with the obstacle based on the acquired position information of the obstacle, controls at least one of steering and braking based on the position information of the identified collision point; and when controlling the steering, acquires a collision avoidance margin distance value corresponding to the position information of the identified collision point, predicts the collision position based on the position information of the obstacle and the information detected by the velocity detector, acquires a distance value between the predicted collision position and the current position, acquires a movement distance value in the lateral direction based on the acquired distance value and a preset turning radius of the vehicle, acquires a steering angle based on the acquired movement distance value in the lateral direction and the acquired collision avoidance margin distance value and controls steering based on the acquired steering angle.

A system for navigating a host vehicle may: receive, from an image capture device, an image representative of an environment of the host vehicle; determine a navigational action for accomplishing a navigational goal of the host vehicle; analyze the image to identify a target vehicle in the environment of the host vehicle; determine a next-state distance between the host vehicle and the target vehicle that would result if the navigational action was taken; determine a maximum braking capability of the host vehicle, a maximum acceleration capability of the host vehicle, and a speed of the host vehicle; determine a stopping distance for the host vehicle; determine a speed of the target vehicle and assume a maximum braking capability of the target vehicle; and implement the navigational action if the stopping distance for the host vehicle is less than the next-state distance summed together with a target vehicle travel distance.

Techniques are discussed for generating and optimizing a trajectory using closed-form numerical integration in route-relative coordinates. A decision planner component of an autonomous vehicle, for example, can receive or generate a reference trajectory, which may correspond to an ideal route for an autonomous vehicle to traverse through an environment, such as a center of a road segment. Lateral dynamics (e.g., steering angles, curvature values of trajectory segments) and longitudinal dynamics (e.g., velocity and acceleration) can be represented in a single algorithm such that optimizing the reference trajectory (e.g., based on loss functions or costs) can substantially simultaneously optimize the lateral dynamics and longitudinal dynamics in a single convergence operation. In some cases, the trajectory can be used to control the autonomous vehicle to traverse an environment.