The present invention has been made in view of the above problems, and an object of the present invention is to, when an abnormality is detected in an electronic control apparatus that controls a plurality of functions, continue an operation without affecting the other function and secure safety of a control target device corresponding to the function in which the abnormality is detected. In the vehicle mounted electronic control apparatus according to the present invention, each of a first computing portion and a second computing portion outputs an operation check signal, and a driver control unit sets a driver corresponding to the computing portion in which an abnormality is indicated by the operation check signal among the first computing portion and the second computing portion, to a degenerated state.

Vehicle systems include features for performing remote park assist (RePA) operations. One system include a feature where a user provides a continuous input via a touchscreen on a mobile device. The mobile device transmits a message and a vehicle autonomously traverses a calculated parking path while the message is being received by the vehicle. Another system include a feature where the vehicle autonomously move to a parking space based on data received from the mobile device. The mobile device receives user inputs on a display showing representations of the vehicle and its surrounding areas to generate the data. Another system include a feature where the mobile device determines whether the user is a first time user of a RePA application. The mobile device operates in a certain training mode based on the determination.

Evasive steering assist (ESA) systems and methods for a vehicle utilize a set of vehicle perception systems configured to detect an object in a path of the vehicle, a driver interface configured to receive steering input from a driver of the vehicle via a steering system of the vehicle, a set of steering sensors configured to measure a set of steering parameters, and a controller configured to determine a set of driver-specific threshold values for the set of steering parameters, compare the measured set of steering parameters and the set of driver-specific threshold values to determine whether to engage/enable an ESA feature of the vehicle, and in response to engaging/enabling the ESA feature of the vehicle, command the steering system to assist the driver in avoiding a collision with the detected object.

A method for compensating sensor tolerances of accelerometers of a vehicle. The method includes following steps: recording of measurement signals of at least three similarly oriented accelerometers, calculation of an acceleration (a.sub.b,z) at a reference position in the spatial direction, which corresponds to the orientation of the accelerometers, low-pass filtering of the measurement signals, determination of tolerance parameters (c.sub.x, c.sub.y, c.sub.z) of each sensor via an optimization method with the aid of the calculated acceleration (a.sub.b,z) at the reference position, and calculation of the adjusted measurement signals from the recorded measurement signals and the tolerance parameters (c.sub.x, c.sub.y, c.sub.z).

A vehicle control apparatus includes (a) a clutch control portion configured to output a hydraulic-pressure command value for supplying a hydraulic pressure to a clutch actuator of a clutch disposed between an engine and an electric motor, when the engine is to be started by being cranked by the electric motor, and (b) a learning control portion configured to execute a plurality of leanings for correcting a relationship representing a correlation between the hydraulic pressure and the hydraulic-pressure command value, wherein at least one of the leanings is a higher priority learning, and at least one of the leanings is a lower priority learning. The learning control portion is configured, when the higher priority learning is in an unconverged state, to cause a degree of reflection of a learning result of the lower priority learning to be lower, than when the higher priority learning is in a converged state.

A calibration apparatus and method suitable for calibration of an offset sensor of a subject vehicle. The calibration apparatus comprises a reference structure that is placed into, a reference locus using image data generated by a camera associated with the reference structure. An offset-target structure is then placed into position by coupling the offset-target structure to the reference structure, the coupling providing an appropriate locus for the offset-target structure during calibration of the offset sensor. The coupling restricts the linear and rotational displacement of the offset-target structure during calibration.

A vehicle control-system includes an automated driving controller and a vehicle-side communication section. The automated driving controller executes automated driving in which at least one out of speed control or steering control of a vehicle is performed automatically, and executes automated driving in a mode from out of plural modes with differing degrees of automated driving. The vehicle-side communication section communicates with a server for managing characteristic information of a vehicle occupant. The automated driving controller controls automated driving based on the characteristic information of the vehicle occupant received from a server-side communication section using the vehicle-side communication section.

The present invention relates to a driver assistance apparatus for a vehicle, which includes a sensing unit for sensing an object located outside the vehicle, and a processor for changing a blind spot detection (BSD) zone on the basis of vehicle information and providing a signal corresponding to an alarm on the basis of the changed BSD zone, thereby varying the BSD zone for sensing other vehicles according to situation and outputting an alarm indicating a level of danger.

Methods and systems for autonomous driving algorithm evaluation are described herein. A computing device may receive, via telematics sensors associated with a vehicle, telematics data corresponding to one or more trips taken by the vehicle during a period of time. Portions of the telematics data corresponding to use of an autonomous driving algorithm may be determined. One or more performance metrics of the autonomous driving algorithm may be determined based on the portions of the telematics data corresponding to use of the autonomous driving algorithm. The one or more performance metrics may be compared to one or more other performance metrics, such as those corresponding to other autonomous driving algorithms. An autonomous vehicle score may be assigned to the autonomous driving algorithm. Based on the autonomous vehicle score, an indication of a second autonomous driving algorithm may be sent to the vehicle.

A system and method for autonomous vehicle driving behavior modification include: receiving passenger driving behavior preferences for setting a driving behavior of an autonomous vehicle; generating driving behaviors controls based on the passenger driving behavior preferences; setting an initial driving behavior of the autonomous vehicle using the driving behavior controls, wherein setting the initial driving behavior comprises providing the driving behavior controls to be implemented by the autonomous vehicle during one or more routes involving the passenger; aggregating vehicle behavior feedback relating to a driving behavior of the autonomous vehicle during the one or more routes; and modifying the driving behavior of the autonomous vehicle based on the vehicle behavior feedback.