A self-driving vehicle (SDV) ameliorates a vehicular mishap incurred by a second vehicle. At least one sensor on a first SDV detects a second vehicle that has been involved in a vehicular mishap. One or more processors determine a confidence level L, which is a confidence level of a mishap assessment accuracy of determining that the second vehicle has been involved in the vehicular mishap. In response to the confidence level L exceeding a predetermined value, the SDV executes an amelioration action to ameliorate a condition of the second vehicle that has been involved in the vehicular mishap.

In a method for detecting whether a motor vehicle in a parked state, in particular in the switched-off state, has been hit or moved, at least one sensor signal is transmitted as a function of a position of the motor vehicle relative to at least one vehicle-external reference object from a sensor device to a control device. The control device compares the at least one sensor signal with at least one predetermined signal pattern or with at least one predetermined value interval or with at least one predetermined signal template, and transmits at least one control command for initiating a safety measure to at least one unit of the motor vehicle, when the comparison reveals a difference.

In a method for detecting whether a motor vehicle in a parked state, in particular in the switched-off state, has been hit or moved, at least one sensor signal is transmitted as a function of a position of the motor vehicle relative to at least one vehicle-external reference object from a sensor device to a control device. The control device compares the at least one sensor signal with at least one predetermined signal pattern or with at least one predetermined value interval or with at least one predetermined signal template, and transmits at least one control command for initiating a safety measure to at least one unit of the motor vehicle, when the comparison reveals a difference.

The present disclosure generally relates to autonomous commercial vehicles. In one aspect, the disclosure provides a method for controlling a commercial highway vehicle. The method includes detecting a failure of a first component based on a first signal from a first sensor. The method also includes classifying, by an automated driving system on the vehicle, a severity of the component failure. The method further includes determining to stop the vehicle if the severity exceeds a threshold severity level. The method also includes determining an emergency stopping distance based on the severity and a current momentum of the vehicle. The method further includes determining a stopping location within the emergency stopping distance. The method also includes stopping the vehicle at the stopping location. The present disclosure also provides an autonomous commercial vehicle and an emergency control system for performing the method.

A pre-active safety seat system applied to the vehicle implements a method for improving a pre-active safety seat speed, which confirms a risk region by matching a recline angle, a slide movement position, and a cushion tilt angle, which are detected from each of a plurality of sensors of a multi-seat sensor in a risk collision situation detected by a vehicle environment sensor of an ADAS, with a seat safety map, and combines and simultaneously controls a plurality of motors of a multi-seat motor configured for a seat target posture of a seat for converting the risk region into a safety region, by a controller, shortening a pre-active safety seat (PSS) required time of a seat target posture in the pre-active safety seat (PSS) operable section before collision of the vehicle from a risk detection.

A fuel control regulator system for a vehicle is disclosed in which a restraint control module registers an acceleration/deceleration that falls outside of predetermined limits. In one embodiment, the fuel control regulator system includes a vehicle including steering, an accelerator, brakes, one or more audio devices in proximity to one or more front crash sensors recording sensor data, a processor, and memory. The restraint control module is coupled to the processor and configured to dynamically adjust a threshold to lie outside of an amplitude of the sensor data of the one or more front crash sensors compromised by sound from the one or more audio devices. In another embodiment, the fuel control regulator system adjusts the sensor data of an affected front crash sensor to lie within an existing threshold. In yet another embodiment, the fuel control regulator system ignores the sensor data of an affected front crash sensor.

An erroneous start is controlled based on vibrations of a tire, irrespective of a poor visibility or an algorithm of an image processing. A tire-side unit detects a vibration of a tire when the tire has collided with a wheel stop or the like, and outputs collision data to a vehicle-side unit. The vehicle-side unit determines an erroneous start of the vehicle. Therefore, the erroneous start of the vehicle can be controlled without being affected by the poor visibility or the algorithm of the image processing as in a case of utilizing a camera or a radar.

An erroneous start is controlled based on vibrations of a tire, irrespective of a poor visibility or an algorithm of an image processing. A tire-side unit detects a vibration of a tire when the tire has collided with a wheel stop or the like, and outputs collision data to a vehicle-side unit. The vehicle-side unit determines an erroneous start of the vehicle. Therefore, the erroneous start of the vehicle can be controlled without being affected by the poor visibility or the algorithm of the image processing as in a case of utilizing a camera or a radar.

A vehicle includes a windshield having an integral pressure sensor. A signal from the pressure sensor is used to identify an impact against the windshield as a stone impact. Responsive to identifying the stone impact, identifying any large truck located within a predetermined radius of the vehicle. Responsive to identifying a large truck, the vehicle is directed to make an evasive maneuver to avoid stones dropped or thrown by the large truck.

In a case where a determination is made, after an engine is started based on a remote operation, that an ambient environment of a vehicle is not a predetermined appropriate environment based on a detection value from an ambient environment detection sensor configured to detect the ambient environment of the vehicle, the engine is stopped. As a result, it is possible to suppress a deterioration of an environmental state around the vehicle or an occupant cabin. As a result, it is possible to take more appropriate measures when the engine is started based on the remote operation.