A system comprising an interface module (IM) for receiving input and generating outputs, the IM being associated with processor (17) and memory (19); a controller module (18) (CM) that is operable independently of and communicatively connected to the IM and that is associated with processor (20) and memory (22) and that receives inputs and generates outputs to control accessories wherein each memory stores a copy of a parameter list (38) and rules governing generation of the outputs, wherein each of the IM and CM is configured such that responsive to each input, the processor of the respective module IM, CM defines a state in the associated copy of the list and communicates with the other module IM, CM to cause the state to be defined in the other copy, wherein each rule requires a state to be present in the list for generation of an associated output by each module.

The present invention provides a driving assist apparatus, a driving assist method, and a driving assist system capable of realizing driving assist in consideration of a delay in a driver's operation regardless of a configuration of a vehicle. A driving assist apparatus includes a standard running route acquisition portion configured to acquire a standard running route calculated based on curve information ahead of a vehicle that is acquired by an external world recognition portion, and an actuator control output portion configured to acquire a standard vehicle motion amount when the vehicle runs the standard running route, calculate an instruction that guides a motion amount of the vehicle toward the standard vehicle motion amount based on the standard vehicle motion amount and a current vehicle motion amount of the vehicle, and output the instruction to an actuator portion configured to provide at least one of a curving force and a braking force to the vehicle.

The vehicle control device of the present invention acquires characteristics of a road condition in front of a traveling vehicle based on external information; acquires vehicle behavior control variables for controlling the behavior of the vehicle based on estimated state variables of the vehicle that are obtained based on the characteristics, and control variables concerning speed of the vehicle based on the external information; acquires trajectory tracking control variables for causing the vehicle to track the target trajectory based on the target trajectory on which the vehicle travels that are obtained based on the characteristics and the estimated state variables; and outputs the control commands for controlling the suspension device, steering device, and braking and driving device based on the vehicle behavior control variables and the trajectory tracking control variables. This improves travel stability of the vehicle on a road surface on which an irregularity such as ruts exists.

A vehicle includes a powertrain and a controller. The powertrain has an engine and an electric machine that are each configured to generate power within the powertrain to propel the vehicle. The controller is programmed to, generate a powertrain power output profile required to propel the vehicle over a predetermined route based on navigation data. The controller is further programmed to, in response to the electric machine operating to propel the vehicle over the predetermined route while the engine is shutdown and an upcoming increase in the powertrain power output profile to a value that is greater than a threshold, initiate an engine start at a predetermined time period before the upcoming increase in the powertrain power output profile.

The present invention relates to the field of automobile diagnosis, and provides an isolation circuit, an automobile diagnosis device and an automobile diagnosis system. The isolation circuit comprises: a first switch circuit electrically connected between an OBD connector of an automobile to be diagnosed and a diagnostic device of the automobile diagnosis device, wherein the OBD connector is further electrically connected to an automobile power supply of the automobile to be diagnosed; and a switch control circuit electrically connected to the OBD connector and the first switch circuit respectively, wherein the switch control circuit does not operate when it is detected that the OBD connector outputs a power supply positive electrode signal and it is not detected that the OBD connector outputs a power supply negative electrode signal, so that the first switch circuit operates in an off state to ensure that the diagnostic device is not powered on; and the switch control circuit outputs a control signal when it is detected that the OBD connector outputs a power supply positive electrode signal and that the OBD connector outputs a power supply negative electrode signal, so that the first switch circuit operates in an on state so as to enable the automobile power supply to supply power to the diagnostic device. Embodiments of the present invention can avoid poor grounding and improve the reliability of automobile diagnosis device.

The present invention provides a technology of efficiently collecting abnormal state data important in a safety function or automatic driving. A collection system includes a passenger sensor unit configured to sense the passenger; and a determination acquisition unit configured to acquire abnormality data from data related to a vehicle and not to the passenger based on sensor information which is data acquired by the passenger sensor unit. The determination acquisition unit determines a danger based on an action taken by a person who senses the danger or changing biological information, and acquires data acquired by the sensor for a time in which the danger is determined and a time with a predetermined length continuing before or after the time as the abnormality data.

The present invention provides a vehicle control device capable of improving fuel consumption while reducing deterioration of emission by appropriately controlling a powertrain system of a vehicle. A vehicle control device includes: a prediction unit configured to predict speeds or accelerations of a vehicle based on a plurality of prediction models; a fuel consumption information calculation unit configured to calculate fuel consumption for each of a plurality of prediction results obtained by the prediction unit; a selection unit configured to select any one of the plurality of prediction results; and a powertrain control unit configured to control at least one of an engine, a generator, an inverter, a drive motor, and a transmission of the vehicle based on the prediction result selected by the selection unit.

Technologies are provided for detecting anomalous data at runtime in an autonomous vehicle component that is indicative of a byzantine fault, and providing real-time remediation. Input and output data streams of the vehicle component can be analyzed to generate a normal operational model for the vehicle component. Using the model, deviations from a known steady state of operation of the vehicle component can be detected and flagged as potential faults. The vehicle component can then be isolated and/or restarted. Additionally or alternatively, a specification can be defined that specifies allowed component interactions in the autonomous vehicle system. The specification can be used to generate tests that can be used to validate the functional correctness of the vehicle components. The specification can be used at run-time to detect component interactions that are not allowed. Such a disallowed component interaction can be detected using the specification and flagged as a potential fault.

A method according to an exemplary aspect of the present disclosure includes, among other things, controlling an electrified vehicle by adjusting a deceleration rate based on a closing rate of the electrified vehicle to an oncoming object.

A collision avoidance assistance device for a vehicle is provided. The collision avoidance assistance device includes a camera configured to acquire an image of an area around the vehicle and a controller. The controller is configured to: detect an image of an animal in the image of the area around the vehicle; determine a type of the animal detected in the image; retrieve behavior characteristics index values representing behavior characteristics of the determined type of the animal; calculate a future presence area of the animal based on the behavior characteristics index values; determine a probability of a collision between the animal and the vehicle based on the calculated future presence area of the animal; and perform a collision avoidance assistance function based on the determined probability of the collision between the animal and the vehicle.