A vehicle sets a first determination region of a first obstacle and a second determination region, on the basis of a position of the first obstacle. The second determination region is located at a position farther than the first determination region. A reliability of the second obstacle is set to a first reliability in a case where a position of a second obstacle falls outside the first determination region and falls outside the second determination region. The reliability of the second obstacle is set to a second reliability higher than the first reliability in a case where the position of the second obstacle falls within the first determination region or falls within the second determination region. Braking is applied to the vehicle body and/or acceleration of the vehicle body is suppressed, on the basis of the reliability of the second obstacle and the position of the second obstacle.

A driving limitation system includes the steps of: identifying a driver by a driver authentication means; extracting information on the identified driver; extracting data relating to vehicle speed limitation according to the driver; extracting data relating to limitation in a vehicle traveling area according to the driver; performing selection or generation of map data regarding a traveling area; generating, on the basis of the extracted data relating to the vehicle speed limitation, vehicle traveling area limitation and the driver, a traveling speed control command within the limitation in the vehicle traveling area in accordance with the physical ability and/or cognitive ability of the driver; transmitting the traveling speed control command to a vehicle speed control means; generating a control command for controlling the vehicle speed on the basis of the safety speed indicated by the vehicle speed control means; and sending the control command to an engine and to a braking system to set the traveling speed of the vehicle to be equal to or lower than the safety speed according to the driver.

Methods and systems are provided for controlling an autonomous vehicle. In one embodiment, a method includes: identifying, by a processor, at least one constraint on a longitudinal dimension of an upcoming road; defining, by the processor, constraint activation logic based on a type of the at least one constraint; performing, by the processor, the constraint activation logic to determine a state of the constraint to be at least one of active and inactive; when the state of the constraint is active, validating, by the processor, a motion plan of the autonomous vehicle based on the constraint; and selectively controlling the autonomous vehicle based on the validating of the motion plan.

Provided herein is a system and method for a vehicle system on a vehicle. The system comprises a server comprising sensor data of stop points, one or more processors, and a memory storing instructions that, when executed by the one or more processors, cause the system to perform: determining, from the stop points, one or more available stop points; selecting, from the one or more available stop points, a stop point based on a criteria; and stopping the vehicle at the selected stop point.

A method, apparatus, and system for planning a deceleration trajectory based on a natural deceleration profile for an autonomous driving vehicle (ADV) is disclosed. In one embodiment, in response to a request for driving in a natural deceleration mode, a current speed of the ADV is determined. A speed guideline is generated based on a predetermined natural deceleration profile associated with the ADV in view of the current speed of the ADV. A speed planning operation is performed by optimizing a total cost function based on the speed guideline to determine speeds of a plurality of trajectory points along a trajectory planned to drive the ADV. A number of control commands are generated based on the speed planning operation to control the ADV with the planned speeds along the trajectory, such that the ADV naturally slows down according to the predetermined natural deceleration profile.

The technology relates to actively looking for an assigned passenger prior to a vehicle 100 reaching a pickup location. For instance, information identifying the pickup location and client device information for authenticating the assigned passenger is received. Sensor data is received from a perception system of the vehicle identifying objects in an environment of the vehicle. When the vehicle is within a predetermined distance from the pickup location, authenticating a client device using the client device information is attempted. When the client device has been authenticated, the sensor data is used to determine whether a pedestrian is within a first threshold distance of the vehicle. When a pedestrian is determined to be within the first threshold distance of the vehicle, the vehicle is stopped prior to reaching the pickup location, to wait for the pedestrian within the first threshold distance of the vehicle to enter the vehicle.

A processor unit is configured for determining target torque values (21), which lie within a prediction horizon (20), and target speed values (19), which lie within the prediction horizon (20), by executing an MPC algorithm, which includes a longitudinal dynamics model of a drive train of the motor vehicle. An autonomous driving function of the motor vehicle is carried out in a torque specification operating mode or in a speed specification operating mode as a function of the level of the target torque values (21). In the torque specification operating mode, a prime mover of the drive train is controlled by an open-loop system based on the target torque values (21). In the speed specification operating mode, a speed governor of the drive train is controlled by an open-loop system based on the target speed values (19).

A vehicle includes a first rotary electric machine, a second rotary electric machine, and a control circuit. When the control circuit determines that a failure has occurred in the first rotary electric machine, the control circuit places the first rotary electric machine and a first transmission path as a power transmission path of the vehicle in the disconnection state, and places the second rotary electric machine and the first transmission path in the connection state. Further, when the control circuit determines that a failure has occurred in the second rotary electric machine, the control circuit places the first rotary electric machine and a first transmission path in the connection state, and place the second rotary electric machine and the first transmission path in the disconnection state.

An information providing device includes an external environment recognition unit that recognizes an external environmental situation of a movable body, an information providing control unit that provides a notification of recommended stopping information based on a current indication of traffic signals recognized by the external environment recognition unit, and a determination unit which determines, in the case that a first intersection and a second intersection are positioned in a travel direction of the movable body, whether or not a degree of proximity of the first intersection and the second intersection satisfies a predetermined condition. In the case it is determined by the determination unit that the predetermined condition is satisfied, the information providing control unit prevents the recommended stopping information based on a current indication of the traffic signal belonging to the second intersection from being provided.

Determination of a trajectory for a first vehicle (1) by model predictive control (MPC) is provided. Trajectory information about a second vehicle (18) traveling in the area ahead of the first vehicle (1) is utilized. In particular, discretization points (P.sub.1, P.sub.2, P.sub.3) and arrival times of the vehicles (1, 18) at the discretization points (P.sub.1, P.sub.2, P.sub.3) are utilized to generate constraints for the model predictive control of the first vehicle (1).