A method for detecting a standstill of a vehicle includes detecting the standstill of the vehicle using at least one sensor, and, when the standstill is detected using the at least one sensor, carrying out a test routine for checking the standstill of the vehicle. The test routine uses at least one signal from at least one rate-of-rotation sensor as an input value. The method further includes rejecting the detected standstill of the vehicle when the at least one signal from the at least one rate-of-rotation sensor indicates that there is no standstill of the vehicle.

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.

The invention relates to a method for automated calibration of sensors of a vehicle, wherein at least one first passive optical sensor and at least one second active optical sensor are calibrated by a calibration unit based on a matching spatial orientation of recognised environmental features in transformed sensor data of the first sensor and the sensor data captured by the second sensor.

Systems, methods, and non-transitory computer readable media may be configured to calibrate sensor measurements based on detection of brake light. Acceleration information of a first vehicle may be obtained. The acceleration information may define an acceleration probability distribution of the first vehicle. Image information may be obtained. The image information may define an image of the first vehicle. Whether a brake light of the first vehicle is on or off may be determined based on the image of the first vehicle. Based on a determination that the brake light of the first vehicle is on, a calibrated acceleration probability distribution of the first vehicle may be generated based on the acceleration probability distribution of the first vehicle and a braking-calibration curve.

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.

The present disclosure provides a method for learning a kisspoint of an engine clutch in a hybrid vehicle, which performs kisspoint learning of an engine clutch while driving by learning hydraulic pressure at the time when motor torque varies by gradually increasing clutch hydraulic pressure in an open state of the engine clutch when a driving load of a vehicle is constant to increase a kisspoint learning frequency of the engine clutch and improve kisspoint accuracy.

The disclosure relates to a processing module and associated method for calibrating an object-detection system for a vehicle comprising a plurality of object-detection sensors. The method comprises receiving, from each of a plurality of the object-detection sensors, a value associated with the detection of a marker; and determining a position of each of the object-detection sensors with respect to the vehicle based on the received values associated with the detection of the marker.

An executing unit is configured to execute at least one of control of operating performance of a plurality of sensors which monitor different regions around a vehicle and predetermined processing for each of a plurality of output values output from the plurality of sensors. A specifying unit is configured to specify a direction of the vehicle with respect to a reference direction set on the basis of a road around the vehicle. A setting unit is configured to set priorities of the plurality of sensors in accordance with the direction of the vehicle specified by the specifying unit. The executing unit changes at least one of ratios of the operating performance of the plurality of sensors and ratios of amounts of processing performed for the plurality of output values on the basis of the priorities.

The present disclosure is directed to checking and updating the calibration of a sensing apparatus at an autonomous vehicle (AV). After a sensing apparatus of an AV has been initially calibrated (e.g., when the AV is manufactured) calibration of that sensing apparatus may be checked or updated using data collected from similar vehicles of a fleet of vehicles. Each of the different vehicles of this fleet may identity its location and report that location. A first of these vehicles may receive data that identifies the location of a second vehicle. A sensing apparatus of the first vehicle may then identify locations of features at the second vehicle and a processor of the sensing apparatus may perform calculations to identify whether calibration of the sensing apparatus has changed. Parameters that adjust the calibration of the sensing apparatus may then be updated to maintain calibration of a sensing apparatus within acceptable tolerances.

A device for calibrating two electric motors mounted on one axle in two-axle motor vehicles includes at least one electronic control unit configured to check whether predefined conditions for a switchover from torque control to rotational speed control are met. If met, the at least one electronic control unit is configured to switch to rotational speed control for a predefined period of time. A torque-dependent characteristic map with correction values is created on the basis of this difference. The target torques are corrected by the correction values during torque control after rotational speed control has been deactivated.