A system and method for controlling an autonomous vehicle to affect a view seen by an occupant of the autonomous vehicle is described. In one embodiment, a method for controlling an autonomous vehicle to affect a view seen by an occupant of the autonomous vehicle includes determining a navigation route, determining content associated with the navigation route, monitoring current conditions of the autonomous vehicle and the occupant, determining, based on the current conditions, whether to change a position of the vehicle to affect the view seen by the occupant, and when the current conditions permit, moving the autonomous vehicle to affect the view seen by the occupant.

Systems and methods are provided for navigating a host vehicle. A processing device may be programmed to receive an image representative of an environment of the host vehicle; determine a planned navigational action for the host vehicle; analyze the image to identify a target vehicle travelling toward the host vehicle; determine a next-state distance between the host vehicle and the target vehicle that would result if the planned navigational action taken; determine a stopping distance for the host vehicle based on a braking rate, a maximum acceleration capability, and a current speed of the host vehicle; determine a stopping distance for the target vehicle based on a braking rate, a maximum acceleration capability, and a current speed of the target vehicle; and implement the planned navigational action if the determined next-state distance is greater than a sum of the stopping distances for the host vehicle and the target vehicle.

Systems and methods are provided for navigating a host vehicle. At least one processing device may be programmed to receive an image representative of an environment of the host vehicle; determine a planned navigational action for the host vehicle; analyze the image to identify a target vehicle in the environment of the host vehicle; determine a next-state lateral distance between the host vehicle and the target vehicle that would result if the planned navigational action was taken; determine a lateral braking distance for the host vehicle and the target vehicle based on a maximum yaw rate capability, a maximum change in turn radius capability, and a current lateral speed of the host vehicle and the target vehicle; and implement the planned navigational action if the determined next-state distance is greater than a sum of the lateral braking distances for the host vehicle and the target vehicle.

A system for controlling an overtake maneuver of a control vehicle comprises a controller structured to determine an overtake velocity for the control vehicle traveling in a vehicle lane to overtake a front vehicle traveling ahead of the control vehicle in the vehicle lane. The controller determines an overtake time for the control vehicle to overtake the front vehicle based on the overtake velocity. The controller determines a direction of traffic in an overtake lane that is adjacent to the vehicle lane. If the direction of traffic in the overtake lane is the same as a direction of traffic in the vehicle lane, and the overtake velocity is less than or equal to an allowed velocity, the controller executes the overtake maneuver by one of adjusting a parameter of an engine and/or a transmission of the control vehicle or providing a command to an operator of the control vehicle.

An information processing system for movable objects includes a processor comprising an information receiving section receiving information on a distance from a rear end of a most rearward first movable object in a row of plural first movable objects on a road to a movable object stopping prohibited area and a length of a second movable object that is stopping behind the most rearward first movable object, a determining section determining whether the distance and the length that are received by the information receiving section meet a predetermined condition, and a signal sending section sending the plural first movable objects forming the row a signal including a first instruction to instruct the plural first movable objects to shorten a gap distance between movable objects next to each other to a first distance, if the first determining section determines that the distance and the length meet the predetermined condition.

A computer implemented method for scenario generation for autonomous vehicle navigation that can include defining a cellular automaton layer that defines a road network level behavior with at least one rule directed to pathways by vehicles on a passageway for travel. The method may further include defining an active matter layer that defines a vehicle level behavior with at least one rule directed to movement of the vehicles on an ideal route for the pathways; and defining a driver agent layer that defines driving nature with at least one rule that impacts changes in the vehicle level behavior dependent upon a characterization of driver behavior. The method may further include combining outputs from the different layer to provide scenario generations for autonomous vehicle navigation. The combining of the outputs can utilize a pseudo random value to determine at an order in the execution and duration of execution for the layers.

A method for avoiding a collision of a vehicle with an obstacle, using at least one ultrasonic sensor. Reflection points are determined during a movement of the vehicle, the reflection points representing locations at which a signal of an ultrasonic sensor was reflected. The reflection points are combined into contiguous, linearly extending wall sections, a wall section having two ends. Furthermore, it is determined whether an end of a wall section is open or closed. The progression abutting an open end of a wall section is extrapolated, and virtual collision points between the vehicle and the extrapolated progression of the wall sections are ascertained. An initiation of a brake intervention follows if a collision with a virtual collision point is imminent. A driver assistance system including at least one ultrasonic sensor configured to carry out the method, and a vehicle including such a driver assistance system, are also described.

Systems and methods are provided for navigating a host vehicle. At least one processing device may be programmed to receive an image of an environment of the host vehicle; detect, based on analysis of the image, a pedestrian crosswalk in the image; detect a presence of a traffic light and determine whether the traffic light is relevant to the host vehicle and the pedestrian crosswalk; determine a state of the traffic light; determine, when a pedestrian appears in the image, a proximity of the pedestrian relative to the pedestrian crosswalk; determine a planned navigational action for navigating the host vehicle relative to the pedestrian crosswalk based on a driving policy, the state of the traffic light and the proximity of the pedestrian relative to the pedestrian crosswalk; and cause one or more actuator systems of the host vehicle to implement the planned navigational action.

Systems and methods are provided for vehicle navigation. In one implementation, a system may comprise an interface to obtain sensing data of an environment of the host vehicle. A processing device may be configured to determine a planned navigational action for the host vehicle; identify a target vehicle in the environment of the host vehicle; predict a resulting distance between the host and target vehicles if the planned action were taken; determine a host vehicle stopping distance based on a braking rate, maximum acceleration capability, and current speed of the host vehicle; determine a target vehicle stopping distance based on a braking rate and current speed of the target vehicle; and continue with the planned navigational action while the predicted distance is greater than a minimum safe longitudinal distance calculated based on the host vehicle stopping distance and the target vehicle stopping distance.

A method and apparatus for determining a turn-round path of a vehicle, a device and a storage medium are provided. An embodiment of the method includes: determining a starting position and a target position for the vehicle to turn round on a road; determining, based at least partially on road information associated with the road and vehicle information associated with the vehicle, a candidate turn-round path between the starting position and the target position; evaluating the feasibility of the candidate turn-round path; and determining, based on the evaluation on the feasibility, a turn-round path by which the vehicle is to turn round on the road.