A vehicle control system includes a recognizer configured to recognize a surrounding situation of a vehicle, a driving controller configured to perform driving control on at least one of steering and a speed of the vehicle on the basis of a recognition result of the recognizer, an environment controller configured to control an operation of a predetermined device for providing a comfortable environment of the vehicle and limit an operation state of the predetermined device at a timing when a user gets out of the vehicle, and a reproducer configured to reproduce the operation state of the predetermined device at a timing when the user gets into the vehicle when the driving controller performs driving control for moving the vehicle from a parking area and picking up the user.

A method and system for detecting one or more living beings in a vehicle. An indication that the engine is off is received via on on-board diagnostics (OBD) device. Whether a first living being is in the front seat area is determined, and whether a second living being is in the back seat area is determined. In response to a determination that a first living being is not in the front seat area and a second living being is in the back seat area, a first temperature reading for a first temperature inside the vehicle is received and a second temperature reading for a second temperature outside the vehicle is received. A delta between the first temperature and the second temperature is computed. If the delta is less than a first threshold, then an alert is sent via the OBD device to a computing device associated with a user.

A method for coordinating vehicles of a vehicle group, including implementing a requested setpoint acceleration, wherein the setpoint acceleration for each vehicle is specified as a function of an emergency braking request triggered manually or automatically, assigning a position in the vehicle group to each vehicle, implementing the emergency braking request, providing, in an advanced emergency braking system (AEBS) cascade, at least a first warning phase for an optical or acoustic warning of a driver of the respective vehicle of the vehicle group, and an emergency braking phase for braking the respective vehicle of the vehicle group as a function of the emergency braking request, at an emergency braking time, and providing a haptic warning phase for at least one vehicle of the vehicle group at a haptic time within a framework of the AEBS cascade.

An event is detected at a first device. Responsive to the detection, at least some functionality of the first device is deactivated. The presence of a second device, cryptographically paired with the first device, is detected by the first device. Responsive to the detection, at least some functionality of the first device is activated or reactivated.

Provided is an update control device including: a communication unit configured to communicate with an on-vehicle control device via a transmission path including an in-vehicle communication line; and a control unit configured to cause the communication unit to transmit a request message when a target device defined below is unable to execute an update process for a control program, the request message requesting an alternative device, which is a non-target device defined below, to alternatively execute a part of the update process. Target device: an on-vehicle control device whose control program is to be updated. Non-target device: an on-vehicle control device whose control program is not to be updated.

Systems and methods for vehicle-based weather detection are disclosed herein. The systems and methods can include selecting one or more vehicles from a plurality of vehicles based on one or more network membership parameters. One or more data acquisition networks can be formed using the one or more selected vehicles. Sensor data can be received from the one or more data acquisition networks. One or more weather conditions can be predicted using the sensor data. One or more environmental elements can be updated based on the predicted weather conditions.

A travel controller including an information acquisition part configured to acquire brake state information of a braking device of a host vehicle and an ACC-ECU configured to perform travel control, wherein the travel control includes constant speed travel control and headway travel control. The constant speed travel control is configured to control the host vehicle to travel at constant speed in accordance with a preset target vehicle speed. The headway travel control is configured to control the host vehicle to travel by following another vehicle travelling ahead so that a predetermined inter-vehicle distance in maintained with the other vehicle and the host vehicle travels in accordance with the target vehicle speed. In the ACC-ECU, when a braking performance index of the host vehicle has a “declined value”, a target acceleration of Example 1 takes a reduced value compared to the target acceleration of Comparative Example for a common distance difference.

The system comprises input means for receiving user data from associated user monitoring means that each monitor at least one respective attribute of the user of the vehicle. The user data is indicative of the plurality of respective attributes. A plurality of inference modules each receive user data from the user monitoring means, and each determine a respective inference of a cognitive state of the user based on the received user data. Each inference module is arranged to output user state data indicative of the determined inference of the cognitive state of the user. An inference fusion module receives the user state data from each of the plurality of inference modules to determine an inference of an aggregated cognitive state of the user and to output cognitive state data indicative of the aggregated cognitive state for controlling the vehicle functions.

A processor unit (3) for model-based predictive control of a vehicle (1) taking into account an arrival time factor is configured to calculate a trajectory for the vehicle (1) based at least in part on at least one arrival time factor, with the trajectory including an entire route (20) to a specified destination (19) at which the vehicle (1) is to arrive, and with the at least one arrival time factor influencing an arrival time of the vehicle (1) at the specified destination (19). Additionally, the processor unit (3) is configured to optimize a section of the trajectory for the vehicle (1) for a sliding prediction horizon by executing a model-based predictive control (MPC) algorithm (13), where the MPC algorithm (13) includes a longitudinal dynamic model (14) of a drive train (7) of the vehicle (1) and a cost function (15) to be minimized.

Systems, methods, and computer program products for upgrading a vehicle's functionality based on the manner in which the vehicle is operated. A predefined operating condition of the vehicle that can be assisted by a vehicle feature not presently provided by the vehicle is identified. Thereafter, a notification is communicated to a user interface that indicates availability of the vehicle feature. Subsequently, the vehicle is upgraded to provide the vehicle feature responsive to input to the user interface submitting a request to perform the upgrade.