Described herein are systems, methods, and non-transitory computer-readable media for implementing automated vehicle safety response measures to ensure continued safe automated vehicle operation for a limited period of time after a vehicle component or vehicle system that supports an automated vehicle driving function fails. When a critical vehicle component/system such as a vehicle computing platform fails, the vehicle is likely no longer capable of performing calculations required to safely operate and navigate the vehicle in an autonomous manner, or at a minimum, is no longer able to ensure the accuracy of such calculations. In such a scenario, the automated vehicle safety response measures disclosed herein can ensure—despite failure of the vehicle component/system—continued safe automated operation of the vehicle for a limited period of time in order to bring the vehicle to a safe stop.

Described herein are systems, methods, and non-transitory computer-readable media for implementing automated vehicle safety response measures to ensure continued safe automated vehicle operation for a limited period of time after a vehicle component or vehicle system that supports an automated vehicle driving function fails. When a critical vehicle component/system such as a vehicle computing platform fails, the vehicle is likely no longer capable of performing calculations required to safely operate and navigate the vehicle in an autonomous manner, or at a minimum, is no longer able to ensure the accuracy of such calculations. In such a scenario, the automated vehicle safety response measures disclosed herein can ensure—despite failure of the vehicle component/system—continued safe automated operation of the vehicle for a limited period of time in order to bring the vehicle to a safe stop.

Described herein are systems, methods, and non-transitory computer-readable media for implementing automated vehicle safety response measures to ensure continued safe automated vehicle operation for a limited period of time after a vehicle component or vehicle system that supports an automated vehicle driving function fails. When a critical vehicle component/system such as a vehicle computing platform fails, the vehicle is likely no longer capable of performing calculations required to safely operate and navigate the vehicle in an autonomous manner, or at a minimum, is no longer able to ensure the accuracy of such calculations. In such a scenario, the automated vehicle safety response measures disclosed herein can ensure—despite failure of the vehicle component/system—continued safe automated operation of the vehicle for a limited period of time in order to bring the vehicle to a safe stop.

An autonomous driving control apparatus for a vehicle includes: a processor that determines whether a current driving condition of the vehicle is a limit situation during an autonomous driving control. When the limit situation is determined, the processor demands to transfer a control authority to a user of the vehicle, and if the control authority is not transferred to the user, the processor starts a minimum risk maneuver and controls engagement of an electronic parking brake device when the vehicle is stopped after the minimum risk maneuver ends. The autonomous driving control apparatus further includes a storage configured to store driving condition data of the vehicle and a set of instructions executed by the processor.

A method for operating a driver assistance system of a vehicle includes the steps of: checking whether there is a motorway exit or roadworks on a first side of the vehicle; checking whether an environment sensor system of the vehicle detects a lane marking that bounds a lane of the vehicle on a second side, which is opposite the first side; if the result of the checking is that there is a motorway exit or roadworks on the first side of the vehicle and that the environment sensor system detects the lane marking, operating a lane-keeping function of the driver assistance system; and if the result of the checking is that there is a motorway exit or roadworks on the first side of the vehicle and that the environment sensor system does not detect the lane marking, triggering a takeover request to a driver of the vehicle.

The present disclosure relates to a vehicle control device including: a satellite positioning result processing part obtaining first data from the satellite positioning device, and outputting the first data as a satellite positioning result; a sensor correction part obtaining second data from an autonomous sensor, and correcting a first error to output the corrected second data as corrected data; an inertial positioning part performing an inertial positioning calculation and outputting an inertial positioning result; an observation value prediction part performing a positioning calculation using the inertial positioning result, and calculating a prediction observation value to output the prediction observation value; an error estimation part estimating an error between the prediction observation value and a satellite positioning result to output the error as a second error; a positioning correction part correcting the prediction observation value, and outputting the prediction observation value as a corrected positioning result.

A vehicle controller includes a processor configured to detect an abnormal condition of a driver of a vehicle, based on an inside sensor signal, search a predetermined section from the position of the vehicle at detection of the driver’s abnormal condition for a first evacuation space by referring to map information, detect an obstacle in the first evacuation space, based on an outside sensor signal, search the predetermined section for a second evacuation space by referring to the map information when the obstacle is detected, control the vehicle to stop the vehicle in the second evacuation space when the second evacuation space is detected, and control the vehicle to stop the vehicle on a roadway being traveled by the vehicle in the predetermined section when the second evacuation space is not detected.

A sensor calibration system periodically receives scene data from a detector in a calibration scene. The calibration scene includes calibration targets. The sensor calibration system generates a calibration map based on the scene data. The calibration map is a virtual representation of the calibration scene and includes features of the calibration targets that can be used as ground truth features for calibrating AV sensors. The sensor calibration system can periodically update the calibration map. For instance, the sensor calibration system receives the scene data at a predetermined frequency and updates the calibration map every time it receives new scene data. The predetermined frequency may be a frequency of the detector completing a full scan of the calibration scene. The sensor calibration system provides a latest version of the calibration map for being used by an AV to calibrate a sensor on the AV 110.

A method includes collecting wheel loads applied to wheels tires of the vehicle, from wheel sensor sets installed in the wheels, when the vehicle is in a steady state and when it is subjected to a movement computing, by a vehicle control unit, longitudinal and lateral positions of a center of gravity of the vehicle, based on vehicle parameters and the wheel loads when the vehicle in the steady state; measuring the movement; and computing, by the vehicle control unit, a height of the center of gravity, based on the movement, the vehicle parameters, the longitudinal or lateral position of the center of gravity and the wheel loads when the vehicle is subjected to the movement.

A vehicle control method for controlling a vehicle using a vehicle control apparatus includes: a sensor configured to detect a state outside a subject vehicle; and a control device. The vehicle control method includes: executing control of recovering a travel trajectory of the subject vehicle to a target trajectory, as ordinary control, by giving a steering amount in a lateral direction with respect to a travel lane of the subject vehicle; using detection data of the sensor to determine whether or not another vehicle is traveling in an adjacent lane to the travel lane of the subject vehicle; and when determining that the other vehicle is traveling in the adjacent lane ahead of the subject vehicle, increasing a response of the steering amount to a higher response than that in the ordinary control, before the subject vehicle passes the other vehicle.