Among other things, techniques are described for expressive vehicle systems. These techniques may include obtaining, with at least one processor, data associated with an environment, the environment comprising a vehicle and at least one object; determining an expressive maneuver including a deceleration of the vehicle such that the vehicle stops at least a first distance away from the at least one object and the vehicle reaches a peak deceleration when the vehicle is a second distance away from the at least one object; generating data associated with control of the vehicle based on the deceleration associated with the expressive maneuver; and transmitting the data associated with the control of the vehicle to cause the vehicle to decelerate based on the deceleration associated with the expressive maneuver.

A control device of a moving object includes: a controller configured to control movement of a moving object based on a specific operation performed on a portable information terminal for a user of the moving object. The controller is configured to: when executing the movement control, perform first deceleration control on the moving object in response to interruption of the specific operation, and second deceleration control on the moving object in response to approaching a target movement position of the movement control, and set deceleration of the second deceleration control to be smaller than deceleration of the first deceleration control.

A driving assistance apparatus includes a controller programmed to perform a deceleration assistance process of assisting in decelerating a vehicle before the vehicle arrives at a deceleration object, and to control a display apparatus to display, in a first display area, first notification information for notifying an occupant of the vehicle of the deceleration object that is a target for the deceleration assistance process. When a first object and a second object that is different from the first object are both detected as the deceleration object and the second object is the target for the deceleration assistance process but the first object is not the target for the deceleration assistance process, the controller is programmed to control the display apparatus to display, in a second display area, second notification information for notifying the occupant of the first object, the second display area is different from the first display area.

A vehicle control system provides a driving function for automated longitudinal control of a vehicle at a signaling unit, the driving function having an automated mode and a manual mode. The vehicle control system is designed to consecutively detect a plurality of signaling units during travel of the vehicle. The vehicle control system is also designed to determine, for each of the plurality of signaling units and on the basis of data relating to the relevant signaling unit, whether the driving function can be operated in the automated mode or only in the manual mode at the relevant signaling unit. The vehicle control system is further designed to operate the driving function in the manual mode at at least one first signaling unit of the plurality of signaling units although it has been determined, on the basis of the data relating to the first signaling unit, that the first signaling unit can be operated in the automated mode.

A vehicle control system provides a driving function for automated longitudinal control of a vehicle. The vehicle control system is designed to determine, on the basis of surroundings data from one or more surroundings sensors of the vehicle, positional data relating to the position of a first signaling unit, which is located in front of the vehicle in the direction of travel, in relation to the position of the vehicle. The vehicle control system is also designed to determine, on the basis of map data relating to a road network traveled on by the vehicle, distance data relating to the distance between the first signaling unit and a stop line of the first signaling unit. The vehicle control system is further designed to cause automated deceleration of the vehicle at the first signaling unit on the basis of the positional data and the distance data.

Described herein are systems, methods, and non-transitory computer-readable media for implementing automated vehicle safety response measures to ensure continued safe automated vehicle operation for a limited period of time after a vehicle component or vehicle system that supports an automated vehicle driving function fails. When a critical vehicle component/system such as a vehicle computing platform fails, the vehicle is likely no longer capable of performing calculations required to safely operate and navigate the vehicle in an autonomous manner, or at a minimum, is no longer able to ensure the accuracy of such calculations. In such a scenario, the automated vehicle safety response measures disclosed herein can ensure—despite failure of the vehicle component/system—continued safe automated operation of the vehicle for a limited period of time in order to bring the vehicle to a safe stop.

A computer includes a processor and a memory storing instructions executable by the processor to identify a current location of the vehicle in a map of a stopping area, collect data to calibrate a sensor while the vehicle is moving in the stopping area, calibrate the sensor based on the collected data, and actuate one or more vehicle components to move the vehicle to a stopping location in the stopping area based on the location of the vehicle in the map and data collected by the calibrated sensor.

A system includes an autonomous vehicle and an oversight server. The oversight server receives status data from the autonomous vehicle. The oversight server determines that a service is needed to be provided to the autonomous vehicle based on the status data. The oversight server determines an updated routing plan for the autonomous vehicle so that the service is provided to the autonomous vehicle. The oversight server communicates instructions that implement the updated routing plan to the autonomous vehicle.

A system includes an autonomous vehicle and an oversight server. The oversight server obtain sensor data from the autonomous vehicle. The sensor data may include a location of the autonomous vehicle. The oversight server determines that one or more criteria apply to the autonomous vehicle based on the sensor data. The one or more criteria includes a geofence area, a particular time window, and a credential associated with a third party. The oversight server grants remote access to the autonomous vehicle in response to determining that the one or more criteria apply to the autonomous vehicle.

The technology relates to approaches for determining appropriate stopping locations at intersections for vehicles operating in a self-driving mode. While many intersections have stop lines painted on the roadway, many others have no such lines. Even if a stop line is present, the physical location may not match what is in store map data, which may be out of date due to construction or line repainting. Aspects of the technology employ a neural network that utilizes input training data and detected sensor data to perform classification, localization and uncertain estimation processes. Based on these processes, the system is able to evaluate distribution information for possible stop locations. The vehicle uses such information to determine an optimal stop point, which may or may not correspond to a stop line in the map data. This information is also used to update the existing map data, which can be shared with other vehicles.