Provided are methods for trajectory generation based on a hierarchical plurality of rules using diverse trajectories, which can include generating a first set of trajectories for a vehicle from a first pose, identifying a first trajectory and a second trajectory from the first set of trajectories, generating a second set of trajectories for the vehicle from a second pose and a third set of trajectories for the vehicle from a third pose, identifying a third trajectory based at least in part on the second set of trajectories and the third set of trajectories, the third trajectory violating a first behavioral rule associated with a first priority that is less than a priority of behavioral rules violated by other trajectories, and determining a path for the vehicle based at least in part on the third trajectory. Systems and computer program products are also provided.

A navigation system for a host vehicle may include at least one processor programmed to receive, from a camera, a plurality of images representative of an environment of the host vehicle. The processor may also be programmed to analyze at least one of the plurality of images to identify navigational state information associated with the host vehicle; determine a plurality of potential trajectories for the host vehicle based on the navigational state information; perform a preliminary analysis relative to each of the plurality of potential trajectories and assign to each of the plurality of potential trajectories, based on the preliminary analysis, at least one indicator of relative ranking; select, based on the at least one indicator of relative ranking assigned to each of the plurality of potential trajectories, a subset of the plurality of potential trajectories, wherein the subset of the plurality of potential trajectories includes fewer potential trajectories than the plurality of potential trajectories; perform a secondary analysis relative to the subset of the plurality of potential trajectories, and based on the secondary analysis, select one of the subset of the plurality of potential trajectories as a planned trajectory for the host vehicle; determine one or more navigational actions for the host vehicle based on the planned trajectory selected from among the subset of the plurality of potential trajectories; and cause at least one adjustment of a navigational actuator of the host vehicle to implement the one or more navigational actions for the host vehicle.

A collision avoidance support device comprises: target detection unit for detecting an target existing in front of a vehicle travelling on a road; target type determination unit for detecting which of a moving object and a stationary object the target detected by the target detection unit is; obstacle determination unit for determining whether or not the target detected by the target detection unit is an obstacle which is likely to collide with the vehicle; and traveling direction automatic control unit. The traveling direction automatic control unit is configured to calculate the selected avoidance path so that the distance margin of when the obstacle determination unit determines that the obstacle is the moving object is larger than the distance margin of when the obstacle determination unit determines that the obstacle is the stationary object.

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.

the at least partially automatic longitudinal control of a transportation vehicle wherein sensor data are generated by a surroundings sensor system wherein the sensor data represent an environment. A computing unit is used, based on the sensor data, to determine a speed vector of a road user in the environment and to predict a potential collision of the road user with the transportation vehicle. Based on the speed vector, it is identified that the road user is moving substantially transverse to a direction of movement of the transportation vehicle and a target speed for the transportation vehicle is computed to avoid the predicted collision. The speed of the transportation vehicle is reduced automatically to the target speed.

Systems and methods for selecting a trajectory for an autonomous vehicle based on perceived risk are provided. A trajectory is selected that satisfies objective safety constraints and minimizes an overall cost based at least in part on cost components representing the perceived risk of the trajectory. The vehicle is navigated according to the selected (e.g., optimized) trajectory.

An autonomous vehicle includes processor circuitry to control a lateral position of the autonomous vehicle during autonomous driving at least based on a default lateral position and a user interface arranged to receive an input indicative of an off-set of the lateral position from a user of the autonomous driving vehicle, wherein the processor circuitry is arranged to receive, from the user interface, information regarding the off-set of the lateral position of the autonomous driving vehicle during driving in the lateral position, calculate a maximum right and a maximum left off-set of the lateral position, calculate a dynamic off-set value based on the received off-set and the maximum right and the maximum left off-set, adjust the lateral position based on the off-set information, and control the lateral position at least based on the dynamic off-set value and the default lateral position of the autonomous driving vehicle.

A method and system for navigating an autonomous vehicle is disclosed. The method comprises determining a relative velocity between the autonomous vehicle and each of one or more surrounding vehicles. Thereafter, the relative velocity associated with each of the one or more surrounding vehicles may be compared with a predefined relative speed threshold to identify a plurality of vehicles-of-interest from the one or more surrounding vehicles. An area bounded by the plurality of vehicles-of-interest may then be determined as a current navigable space for the autonomous vehicle. Subsequently, a future navigable space for the autonomous vehicle may be predicted based on a predicted velocity of the plurality of vehicles-of-interest and a predicted distance to the plurality of vehicles-of-interest. The autonomous vehicle may then be navigated based on the current navigable space and the future navigable space.

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.

A vehicle control device includes a recognizer configured to recognize a two-wheeled vehicle dedicated lane that is present adjacent to a subject lane on which a subject vehicle is present, and a driving controller configured to control at least steering of the subject vehicle and cause the subject vehicle to move far away from the two-wheeled vehicle dedicated lane in the subject lane in comparison with a case where the two-wheeled vehicle dedicated lane is not recognized by the recognizer, in a case where the two-wheeled vehicle dedicated lane is recognized by the recognizer.