An automotive vehicle includes at least one sensor configured to detect features in a region proximate the exterior of the vehicle, at least one actuator configured to control vehicle steering, propulsion, shifting, or braking, and an automated driving system selectively operable in a nominal mode and in a degraded mode. The automated driving system is configured to generate an actuator control signal for the at least one actuator in response to sensor signals from the at least one sensor. The automated driving system includes a computational accelerator processor. The vehicle further includes a monitor processor in communication with the automated driving system. The monitor processor is configured to provide a test input for processing by the computational accelerator processor, receive a test output from the computational accelerator processor, and in response to the test output not satisfying a validation criterion, control the automated driving system in the degraded mode.

A system and method for utilizing aggregated weather data (AWD) for deriving road surface condition (RSC) estimates. This system and method supplements road friction estimates (RFEs) made at the vehicle level with AWD in the cloud to form the RSC estimates, which are then transmitted to the vehicles such that more accurate RFEs can be made locally, and so on. Conventional RFE physics-based models are replaced with enhanced RFE trained machine learning (ML) models accordingly. Global RSC estimates are derived for each geographical region using weather and location constraints. Thus, improved autonomous driving and driver assist functions may be implemented, better driver warnings may be provided, and safer road trips may be planned in advance based on a thorough analysis of the drivable conditions.

A method for controlling a parked vehicle includes receiving vehicle identification information from a first terminal, specifying a target vehicle to be controlled based on the vehicle identification information, waking up the target vehicle to be controlled and transitioning the target vehicle to be controlled to a movable state, and transmitting a moving direction to the target vehicle to be controlled.

A control execution unit is connected both a main bus and a sub bus, and includes an execution unit and a selection unit. The execution unit performs vehicle control according to a selected manipulated variable being either a main manipulated variable from a main processing unit connected to the main bus or a sub manipulated variable from a sub processing unit connected to the sub bus. The selected manipulated variable is set to the main manipulated variable in an initial state, and the selection unit switches over the selected manipulated variable from the main manipulated variable to the sub manipulated variable when communication performed via the main bus satisfies a preset switchover condition.

A safety and stability control method against automobile tire blowout, which is used for manned and unmanned driving vehicles and based on vehicle braking, driving, steering and suspension systems. The present method establishes tire blowout determination based on a tire pressure detection mode, a status tire pressure mode and a steering mechanics state mode, and uses a safety and stability control mode, model and algorithm, and control structure and process against automobile tire blowout. On the basis of a tire blowout state point, the vehicle braking, driving, steering, steering wheel steering force and suspension balancing control are carried out in a coordinated manner by entering and exiting a tire blowout control state and switching between a normal mode and a tire blowout control mode, so as to realize tire blowout control in which real or unreal tire blowout processes overlap. In cases where a tire blowout process state and the motion states of the wheel and vehicle with a blown tire are changed rapidly, the technical difficulties of the wheel and the vehicle being seriously unstable due to tire blowout and the extreme tire blowout state being difficult to control are overcome, solving the safety technical problems associated with automobile tire blowout.

A portable electronic device for repositioning adjustable fixtures in vehicles. The portable electronic device includes a communication module, a processor, and a memory that stores computer program instructions that cause the processor to receive a first configuration setting that is specific to the first vehicle, the first configuration setting describing a preferred position of a first adjustable fixture in the first vehicle, translate the first configuration setting into a second configuration setting that is specific to a second vehicle, and transmit, to the second vehicle using the communication module, the second configuration setting to the second vehicle for use in moving a second adjustable fixture in the second vehicle from an initial position to an adjusted position that is based on the preferred position.

A vehicle starting mechanism includes a switch box and a power switch. The switch box is provided near an operation panel or a meter panel, and has a lid that can be opened and closed. The power switch is housed inside the switch box, and is capable of switching the vehicle between a state capable of traveling and a state incapable of traveling.

Aspects of the present disclosure relate switching between autonomous and manual driving modes. In order to do so, the vehicle's computer may conduct a series of environmental, system, and driver checks to identify certain conditions. The computer may correct some of these conditions and also provide a driver with a checklist of tasks for completion. Once the tasks have been completed and the conditions are changed, the computer may allow the driver to switch from the manual to the autonomous driving mode. The computer may also make a determination, under certain conditions, that it would be detrimental to the driver's safety or comfort to make a switch from the autonomous driving mode to the manual driving mode.

A system and method for utilizing aggregated weather data (AWD) for deriving road surface condition (RSC) estimates. This system and method supplements road friction estimates (RFEs) made at the vehicle level with AWD in the cloud to form the RSC estimates, which are then transmitted to the vehicles such that more accurate RFEs can be made locally, and so on. Conventional RFE physics-based models are replaced with enhanced RFE trained machine learning (ML) models accordingly. Global RSC estimates are derived for each geographical region using weather and location constraints. Thus, improved autonomous driving and driver assist functions may be implemented, better driver warnings may be provided, and safer road trips may be planned in advance based on a thorough analysis of the drivable conditions.

Provided is an automatic driving control device advantageous for a vehicle or the like in which a route can be changed during movement to a destination. An automatic driving control device, wherein a navigation device is provided with a route generation unit for generating a second route which is difference from a first route on the basis of predetermined conditions, and a determination unit for determining whether to change from the first route to the second route when an automatic driving permissible interval included in the second route is different from the automatic driving permissible interval included in the first route. When the route has been determined by the determination unit to be changeable from the first route to the second route, a control unit executes an automatic driving mode in the automatic driving permissible interval included in the second route.