Systems and methods for verifying whether vehicle operators are paying attention are disclosed. Exemplary implementations may: generate output signals conveying information related to a first vehicle operator; make a first type of determination of at least one of an object on which attention of the first vehicle operator is focused and/or a direction in which attention of the first vehicle operator is focused; make a second type of determination regarding fatigue of the first vehicle operator; make a third type of determination of at least one of a distraction level of the first vehicle operator and/or a fatigue level of the first vehicle operator; and effectuate a notification regarding the third type of determination to at least one of the first vehicle operator and/or a remote computing server.

A vehicular control system includes a camera and a receiver disposed at the equipped vehicle. A control includes an image processor that processes image data captured by the camera to detect vehicles present within the field of view of the camera. The vehicular control system determines presence of another vehicle that constitutes a potential hazard existing exterior of the equipped vehicle responsive at least in part to a wireless communication originating from the other vehicle and received by the receiver. When the other vehicle enters the field of view of the camera, and responsive at least in part to the image processor processing image data captured by the camera, the control detects that the other vehicle is present within the field of view of the camera and controls at least one vehicle function of the equipped vehicle to mitigate collision with the other vehicle.

An integrated automated robotic test system for automated driving systems is disclosed, which is operable to provide an automated testing system for coordinated robotic control of automobiles equipped with automation functions (i.e., test vehicles) and unmanned target robots with which test vehicles may safely collide. The system may include a system for controlling a vehicle that includes a brake actuator, a throttle actuator, and a steering actuator. The brake actuator is controlled by a brake motor and configured to press and release a brake pedal of the vehicle. The throttle actuator is controlled by a throttle motor and configured to press and release a gas pedal of the vehicle. The steering actuator is configured to control a steering wheel of the vehicle. The steering actuator includes a steering motor configured to attach to the steering wheel and a reaction stand configured to support the steering motor.

A method is disclosed for operating a motor vehicle having a plurality of driver assistance systems, wherein the method includes setting, via an operator interface of the motor vehicle, an assistance degree parameter, which indicates the extent to which support for a driver by the driver assistance systems is desired. The method also includes setting, via the operator interface of the motor vehicle, at least one additional parameter, which is related to the driving operation of the motor vehicle. The method additionally includes specifying, by a processing device of the motor vehicle, at least one operating parameter for each driver assistance system, in accordance with which operating parameter the driver assistance system is operated, as a function of the assistance degree parameter and the additional parameter(s). A motor vehicle is also disclosed that performs the method.

Techniques are disclosed for performing hybrid simulation operations with an autonomous vehicle. A method of testing autonomous vehicle operations includes receiving, by a computer, a pre-configured scenario that includes one or more simulation parameters and one or more initial condition parameters, sending, to the autonomous vehicle and based on the one or more initial condition parameters, control signals that instruct the autonomous vehicle to operate at an operative condition, and in response to determining that the autonomous vehicle is operating at the operative condition, performing a simulation with the one or more simulated objects and the autonomous vehicle to test a response of the autonomous vehicle.

A vehicle control device includes an external situation recognition unit configured to recognize an external situation around a vehicle to recognize a traffic participant, an action schedule acquisition unit configured to acquire a first action schedule of the vehicle, an action schedule notification unit configured to notify a terminal possessed by the traffic participant of the first action schedule of the vehicle to request an approval of the first action schedule, a receiver configured to receive the approval of the first action schedule from the terminal; and an execution controller configured to execute an operation of the vehicle in accordance with the first action schedule when the receiver receives the approval of the first action schedule from the terminal and to suppress the operation of the vehicle in accordance with the first action schedule when the receiver does not receive the approval of the first action schedule from the terminal.

A method, apparatus, and system for timing synchronization between multiple computing nodes in an autonomous vehicle host system is disclosed. Timing of a first computing node of an autonomous vehicle host system is calibrated based on an external time source. A first timing message is transmitted from the first computing node to a second computing node of the autonomous vehicle host system via a first communication channel between the first computing node and the second computing node. Timing of the second computing node is calibrated based on the first timing message, wherein immediately subsequent to the calibration of timing of the second computing node, timing of the first computing node and of the second computing node is synchronized.

The present application discloses a method for controlling cruise of a vehicle. The method includes: acquiring a pre-established three-dimensional trajectory map of the vehicle from a starting point to a destination; acquiring current positioning information of the vehicle; intercepting a target trajectory at a preset distance currently ahead of the vehicle from the three-dimensional trajectory map according to the current positioning information; acquiring a target point from the target trajectory according to the current positioning information; acquiring a wheelbase and a current speed of the vehicle, and calculating an angle that front wheels of the vehicle are required to rotate, according to the target point, the current positioning information, the wheelbase, and the current speed; controlling a movement of the vehicle according to the angle.

An apparatus for an autonomous vehicle may include a controller. The controller may monitor one or more components or systems of the autonomous vehicle. The controller may determine a fault condition of the autonomous vehicle, such as for a component or a system of the autonomous vehicle. The apparatus may include a human-machine interface for a user, such as an occupant of the autonomous vehicle. The apparatus may communicate, via the human-machine interface, an alert based on the fault condition. This may be in accordance with a profile associated with the user.

Techniques are disclosed for performing hybrid simulation operations with an autonomous vehicle. A method of testing autonomous vehicle operations includes receiving, by a computer, a pre-configured scenario that includes one or more simulation parameters and one or more initial condition parameters, sending, to the autonomous vehicle and based on the one or more initial condition parameters, control signals that instruct the autonomous vehicle to operate at an operative condition, and in response to determining that the autonomous vehicle is operating at the operative condition, performing a simulation with the one or more simulated objects and the autonomous vehicle to test a response of the autonomous vehicle.