Aspects of the disclosure provide for controlling an autonomous vehicle to respond to queuing behaviors at pickup or drop-off locations. As an example, a request to pick up or drop off a passenger at a location may be received. The location may be determined to likely have a queue for picking up and dropping off passengers. Based on sensor data received from a perception system, whether a queue exists at the location may be determined. Once it is determined that a queue exists, it may be determined whether to join the queue to avoid inconveniencing other road users. Based on the determination to join the queue, the vehicle may be controlled to join the queue.

Among other things, techniques are described for forecasting occupancy of a vehicle location. This includes receiving, by at least one processor, status information of a parking location the status information representing an availability of the parking location; predicting, by the at least one processor, a future status of the parking location based on the received status information; determining, by the at least one processor, a destination based on the predicted future status of the parking location; and providing, by the at least one processor, the predicted future status to a controller of a vehicle for controlling the vehicle to drive to the destination.

An evacuation running assistance system includes a road shoulder evacuation possibility determiner to determine if an own vehicle can be evacuated to a road shoulder; an own vehicle situation determiner to determine a current situation of an own vehicle in accordance with a time limit and the road shoulder evacuation possibility, a controller to control an own vehicle in accordance with the situation of the own vehicle; and a road shoulder evacuation possibility road determiner to acquire evacuation space information from a past running history of the own vehicle. The own vehicle situation determiner determines that the own vehicle is in the situation to be controlled to perform the on-lane stopping when the road shoulder evacuation possibility road determiner does not determine within the provisional time that the evacuation of the own vehicle to the road shoulder is possible.

The vehicle control device controls a vehicle configured to receive power by non-contact from a power transmission coil when passing over the power transmission coil. The vehicle control device includes a processor configured to set a target speed of the vehicle in a power supply area where the power transmission coil is installed. The processor is configured to lower the target speed when at least one predetermined condition is satisfied, compared to when the at least one predetermined condition is not satisfied. The at least one predetermined condition includes a first condition relating to a running environment around the vehicle.

A vehicle includes a sensor provided to obtain first motion information which is motion state information of an object, a navigator provided to obtain location information of the vehicle, and a controller including at least one processor configured to process the location information and the first motion information, wherein the controller is configured to receive an expected motion value of the object based on the location information, compare the expected motion value with the first motion information to determine a difference value therebetween, and conclude the object as a dangerous object when the difference value is greater than or equal to a predetermined value.

A control apparatus includes a risk area specification unit to specify a risk area outside a movable object, a transmission control unit to perform control to transmit alert information related to a position of the risk area to an outside of the movable object, a reception control unit to perform control to receive response information including information related to a position of another movable object that is response information to the alert information which is transmitted by the other movable object, and a control unit to execute control of the movable object based on position information of the risk area and the information related to the position of the other movable object which is acquired, in which the alert information includes information for controlling a mode related to a transmission cycle of the response information to be transmitted by the other movable object which has received the alert information.

A calculation apparatus includes a control unit configured to calculate a necessary distance that is necessary for a vehicle to perform lane change from a first travel lane to a second travel lane by combining a first distance that the vehicle travels while the vehicle waits to start the lane change, a second distance that the vehicle travels while a speed of the vehicle is adjusted, and a third distance that the vehicle travels while executing the lane change.

A method and device for operating a vehicle comprising a step of recording environment data values, which represent an environment of the vehicle, the environment comprising at least one environmental feature; a step of determining a comparative value of a comparison between the at least one environmental feature and a map, the map comprising at least one map feature, the at least one environmental feature corresponding the at least one map feature; a step of determining an up-to-dateness of the map, based on a comparison of the comparative value with a threshold value; and a step of operating the vehicle, as a function of the up-to-dateness of the map.

A driving support device includes a prediction unit, a trajectory determination unit, and a necessity determination unit. The prediction unit is configured to predict an increase degree of an inter-vehicle distance between other vehicles in response to the cut-in of the subject vehicle, and determine whether the lane change is permissible based on the increase degree. The necessity determination unit is configured to determine whether a necessity level of the lane change is within an acceptable range. The prediction unit is configured to cancel the determination whether the lane change is permissible based on the increase degree when it is determined that the necessity level is within the acceptable range, and determine whether the lane change is permissible based on a linear prediction of a behavior of the other vehicles.

Vehicle manipulation is performed using crowdsourced data. A camera within a vehicle is used to collect cognitive state data, including facial data, on a plurality of occupants in a plurality of vehicles. A first computing device is used to learn a plurality of cognitive state profiles for the plurality of occupants, based on the cognitive state data. The cognitive state profiles include information on an absolute time or a trip duration time. Voice data is collected and is used to augment the cognitive state data. A second computing device is used to capture further cognitive state data on an individual occupant in an individual vehicle. A third computing device is used to compare the further cognitive state data with the cognitive state profiles that were learned. The individual vehicle is manipulated based on the comparing of the further cognitive state data.