A method for operating a control device of a motor vehicle driving by automation. The method includes determining a location of the motor vehicle, and acquiring driving-environment data of the motor vehicle, a control characteristic of the control device of the motor vehicle being formed in such a way that a driving behavior of at least one other road user is influenced in defined manner.

A vehicle behavior of a monitored vehicle is learned. A vehicle illumination of the monitored vehicle is detected and monitored. If a light-pattern occurs in the detected vehicle illumination, wherein the light-pattern corresponds to a frequency, intensity and/or color dependent glowing of the vehicle illumination, and further wherein the light-pattern starts with a flashing up of the detected vehicle illumination and ends after a certain time without glowing of the respective part of the detected vehicle illumination, then the method further monitors the light-pattern; monitors a vehicle movement of the monitored vehicle during the occurrence of the light-pattern; and compares the monitored light-pattern with a known light-pattern from a light-pattern data entry stored in an light-pattern database. If the comparison results in the monitored light-pattern being unknown, the method stores the light-pattern and the vehicle movement together as a new light-pattern data entry in the light-pattern database.

A vehicle behavior of a monitored vehicle is learned. A vehicle illumination of the monitored vehicle is detected and monitored. If a light-pattern occurs in the detected vehicle illumination, wherein the light-pattern corresponds to a frequency, intensity and/or color dependent glowing of the vehicle illumination, and further wherein the light-pattern starts with a flashing up of the detected vehicle illumination and ends after a certain time without glowing of the respective part of the detected vehicle illumination, then the method further monitors the light-pattern; monitors a vehicle movement of the monitored vehicle during the occurrence of the light-pattern; and compares the monitored light-pattern with a known light-pattern from a light-pattern data entry stored in an light-pattern database. If the comparison results in the monitored light-pattern being unknown, the method stores the light-pattern and the vehicle movement together as a new light-pattern data entry in the light-pattern database.

A driving control device receives power supply from an accessory battery to operate, controls automatic driving, and outputs a control signal. A steering ECU, a power ECU and a brake ECU instruct a steering mechanism, a PCU and a brake to operate based on the control signal, respectively. An emergency stop switch is operated by an operator. In a case where the emergency stop switch is operated, an interface processing device cuts off a switch to stop the power supply, shuts down the driving control device, and outputs a control signal that causes the steering mechanism, the PCU and the brake to perform an emergency stop operation.

A driving control device receives power supply from an accessory battery to operate, controls automatic driving, and outputs a control signal. A steering ECU, a power ECU and a brake ECU instruct a steering mechanism, a PCU and a brake to operate based on the control signal, respectively. An emergency stop switch is operated by an operator. In a case where the emergency stop switch is operated, an interface processing device cuts off a switch to stop the power supply, shuts down the driving control device, and outputs a control signal that causes the steering mechanism, the PCU and the brake to perform an emergency stop operation.

Position indicating devices, systems and methods useable for signaling the positions of pedestrians or vehicles.

Position indicating devices, systems and methods useable for signaling the positions of pedestrians or vehicles.

Systems and methods for situational behavior of an autonomous vehicle are disclosed. In one aspect, an autonomous vehicle includes at least one perception sensor configured to generate perception data indicative of at least one other vehicle on a roadway, a non-transitory computer readable medium, and a processor. The processor is configured to determine that the other vehicle is violating one or more rules of the roadway based on the perception data, tag the other vehicle as a non-compliant driver, and modify control of the autonomous vehicle in response to tagging the other vehicle as a non-compliant driver.

In an autonomous driving method, a health physiological data range is added to an operational design domain (ODD) deployed on an autonomous driving system (ADS) as an applicable range of the ODD. The ADS receives real-time physiological data of a driver/passenger collected by a monitoring device. When a difference between the real-time physiological data and a health physiological data range is greater than a preset value, and a duration in which the real-time physiological data deviates from the health physiological data range is greater than a first preset duration, the ADS degrades an autonomous driving service being executed by an autonomous driving vehicle, and executing a first driving policy based on the difference and the duration.

The disclosure relates to augmented reality vehicle identification with visual light communication. For example, a mobile device may be configured for “scanning” an area having multiple parked vehicles within visual range of the mobile device, to identify a target vehicle. The mobile device may include an application for identifying the target vehicle using visual light communication (VLC) equipment and techniques that present an augmented reality outline or other identification of the target vehicle on the smartphone screen once the vehicle is identified by the system. The encrypted communication channels with the vehicle may be established to utilize vehicle headlamps, interior lights, or another light emitting device to establish the VLC between the user's phone and the vehicle VLC system. The mobile device may emit VLC signals using an onboard light emitter while being in visual communication with the target vehicle, establish an encrypted communication channel with the vehicle, and identify the vehicle using automatic and/or user-selectable identification features.