An anomaly detection electronic control unit connected to an in-vehicle network includes: a communicator that receives a first communication message indicating speed information of a vehicle including the in-vehicle network and a second communication message indicating peripheral information of the vehicle; a processor; and a memory including at least one set of instructions that, when executed by the processor causes the processor to perform operations including: (A) determining a first traveling state of the vehicle based on the speed information and a second traveling state of the vehicle based on the peripheral information; (B) determining, by comparing the first traveling state with the second traveling state, that the first communication message is anomalous when the first traveling state is different from the second traveling state; and (C) executing processing to handle an anomaly when the first communication message is determined to be anomalous.

A control apparatus for a hybrid electric vehicle includes: an engine control portion for controlling an operation state of an engine; and a driving-mode control portion for controlling the vehicle so as to realize selected driving mode or modes. The driving modes include a main-drive-wheel driving mode in which a drive power is distributed to main drive wheels, and an all-wheel driving mode in which the drive power is distributed to the main and auxiliary drive wheels. When the all-wheel driving mode is selected in the main-drive-wheel driving mode with the engine being in a stopped state, the engine control portion is configured to maintain the stopped state of the engine until completion of switching from the main-drive-wheel driving mode to the all-wheel driving mode, and to start the engine after a predetermined operation is executed by the driver of the vehicle to drive the vehicle.

A control apparatus for a hybrid electric vehicle includes: an engine control portion for controlling an operation state of an engine; and a driving-mode control portion for controlling the vehicle so as to realize selected at least one of driving modes. The driving modes include a low-gear all-wheel driving mode and a high-gear all-wheel driving mode. In a case in which the low-gear all-wheel driving mode is selected in the high-gear all-wheel driving mode when the engine is in a stopped state with a vehicle power transmission apparatus being in a non-driving position that disables transmission of a drive power, the engine control portion maintains the stopped state of the engine until completion of switching from the high-gear all-wheel driving mode to the low-gear all-wheel driving mode, and starts the engine after the completion of the switching from the high-gear all-wheel driving mode to the low-gear all-wheel driving mode.

An apparatus for controlling a vehicle includes: a sensor that obtains vehicle surrounding environment information and vehicle driving information; and a controller that determines whether an engagement of an Electronic Parking Brake (EPB) is possible based on the vehicle driving information, performs control for preventing a slip based on the vehicle surrounding environment information upon determining that the engagement of the EPB is impossible, calculates a steering angle for preventing the slip, transmits the steering angle to a portable terminal, receives a steering control command from the portable terminal, and controls steering based on the received steering control command.

A vehicular driver assist system includes a camera disposed at a vehicle and an electronic control unit (ECU) having an image processor for processing image data captured by the camera. Responsive to processing by the image processor of captured image data, the ECU detects an object in the vicinity of the vehicle. The ECU, responsive to detecting the object, determines movement of the detected object relative to the vehicle. The ECU, responsive to determining movement of the detected object relative to the vehicle, determines a current driving condition of the vehicle. The ECU compares the current driving condition to a current actual speed of the vehicle and determines whether or not the vehicle is moving unintentionally. Responsive to determining that the vehicle is moving unintentionally, the system slows the vehicle or generates an alert to a driver of the vehicle.

A method for controlling the operation of an automatic driving assistance system of a motor vehicle, which is designed for independent vehicle guidance. When at least one driving control takeover condition is met which brings about deactivation of the driving assistance system when driving control is taken over by the driver, at least one takeover request is output to the driver. If the driver does not react to this takeover request, replanning of the original route occurs with an original destination to a stopping point which can be approached in an automated manner. The replanning occurs in such a way that the stopping point constitutes, in the context of the present position of the motor vehicle with respect to the original destination, an optimum stopping point which is determined according to at least one optimality criterion.

The disclosure describes various embodiments for detecting an unexpected control state of an autonomous driving system. According to an embodiment, an exemplary method of detecting an unexpected control state of an autonomous driving system include the operations of generating environmental data of a vehicle; determining, by the autonomous driving system, a first control state based on the environmental data of the vehicle; determining, by a reference model, a second control state based on the environmental data, wherein the reference model defines at least one scenario each corresponding to a plurality of expected control states and a state switching condition, and in each of the expected control states corresponding to the scenario, an action of the vehicle in the scenario obeys a traffic rule; and determining the unexpected control state of the autonomous driving system by comparing the first control state with the second control state.

A driving assistance method includes: detecting a position of a first obstacle ahead of a host vehicle on a first lane where the host vehicle is traveling; detecting a position of a second obstacle ahead of the host vehicle on a second lane, the second lane being an oncoming lane adjacent to the first lane; when the position of the second obstacle is on a nearer side than the position of the first obstacle in a traveling direction of the host vehicle, determining a first stop position as a stop position of the host vehicle to a position before the second obstacle in the traveling direction of the host vehicle; and assisting the host vehicle to stop at the determined first stop position.

A method of and an apparatus of controlling a creep torque to be exerted on a vehicle, may include facilitating a control unit to determine from a vehicle speed signal whether or not a vehicle comes to a stop, facilitating the control unit to determine from a slope angle signal a state of a road in accordance with a slope angle of the road; facilitating the control unit to determine a gear-shift step state, facilitating the control unit to decide a creep torque command on the basis of a result of the determination, the gear-shift step state, and information on the state of the road in accordance with the slope angle, and facilitating the control unit to output the decided creep torque command to perform creep torque control that generates a creep torque corresponding to the creep torque command from a motor.

A vehicle controller for automated driving control of a vehicle in traffic congestion includes a processor configured to sense at least one another vehicle around the vehicle, based on a sensor signal obtained by a sensor for sensing a situation around the vehicle, the sensor being mounted on the vehicle; calculate a motion value indicating motion of the sensed at least one other vehicle; determine, when the motion value satisfies a congestion relief condition, that congestion is relieved around the vehicle; and set the congestion relief condition, based on road environment information indicating environment of a road around the vehicle.