Abstract: 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.

Abstract: The methods and systems herein enable leveraging V2X for host vehicle trajectories. A host vehicle broadcasts a trajectory request that is received by a remote system. The remote system determines that a tracked object being tracked by the remote system corresponds to the host vehicle and determines a trajectory of the tracked object. The remote system sends a response to the host vehicle indicating the trajectory of the tracked object as a trajectory of the host vehicle. The host vehicle calculates scores for one or more safety metrics for the received trajectory and an internally generated trajectory (e.g., using separate hardware components). Based on the scores, the host vehicle selects from among the trajectories or generates a trajectory and sends the selected/generated trajectory to a vehicle system such that the vehicle system can operate the host vehicle according to the selected/generated trajectory.

Abstract: This document describes change detection criteria for updating sensor-based maps. Based on an indication that a registered object is detected near a vehicle, a processor determines differences between features of the registered object and features of a sensor-based reference map. A machine-learned model is trained using self-supervised learning to identify change detections from inputs. This model is executed to determine whether the differences satisfy change detection criteria for updating the sensor-based reference map. If the change detection criteria is satisfied, the processor causes the sensor-based reference map to be updated to reduce the differences, which enables the vehicle to safely operate in an autonomous mode using the updated reference map for navigating the vehicle in proximity to the coordinate location of the registered object.

Abstract: Techniques and systems are described that enable evasive steering assist (ESA) with a pre-active phase. An ESA system predicts that a collision with an object is imminent and enters a pre-active phase. The pre-active phase causes a required drop in steering force to occur prior to determining that the collision is imminent. At a later time, the ESA system determines that the collision is imminent and enacts an active phase. The active phase causes a steering force effective to avoid the collision. By enacting the pre-active phase prior to the determination of the imminent collision, the ESA system may provide the additional steering force needed to avoid the collision without delay while simultaneously shielding a driver of vehicle from feeling the drop in steering force.

Abstract: 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.

Abstract: A method of providing evasive steering assist (ESA) includes storing yaw rate data related to a host vehicle, wherein yaw rate data includes a yaw rate stored at each time step from an initial time step [0] to a current time step [n]. The method further includes determining whether to initiate ESA, wherein in response to a determination to initiate ESA, the method includes calculating a current position, a current heading angle, a destination position, and a destination heading angle, wherein the stored yaw rate data is utilized to determine the current heading angle and the destination heading angle. The method further includes generating an evasive steering assist (ESA) output based on the current position, the current heading angle, the destination position, and the destination heading angle.

Abstract: Techniques and systems are described that enable evasive steering assist (ESA) with a pre-active phase. An ESA system predicts that a collision with an object is imminent and enters a pre-active phase. The pre-active phase causes a required drop in steering force to occur prior to determining that the collision is imminent. At a later time, the ESA system determines that the collision is imminent and enacts an active phase. The active phase causes a steering force effective to avoid the collision. By enacting the pre-active phase prior to the determination of the imminent collision, the ESA system may provide the additional steering force needed to avoid the collision without delay while simultaneously shielding a driver of vehicle from feeling the drop in steering force.

Abstract: Techniques and systems are described that enable evasive steering assist (ESA) with a pre-active phase. An ESA system predicts that a collision with an object is imminent and enters a pre-active phase. The pre-active phase causes a required drop in steering force to occur prior to determining that the collision is imminent. At a later time, the ESA system determines that the collision is imminent and enacts an active phase. The active phase causes a steering force effective to avoid the collision. By enacting the pre-active phase prior to the determination of the imminent collision, the ESA system may provide the additional steering force needed to avoid the collision without delay while simultaneously shielding a driver of vehicle from feeling the drop in steering force.

Abstract: Techniques and systems are described that enable evasive steering assist (ESA) with a pre-active phase. An ESA system predicts that a collision with an object is imminent and enters a pre-active phase. The pre-active phase causes a required drop in steering force to occur prior to determining that the collision is imminent. At a later time, the ESA system determines that the collision is imminent and enacts an active phase. The active phase causes a steering force effective to avoid the collision. By enacting the pre-active phase prior to the determination of the imminent collision, the ESA system may provide the additional steering force needed to avoid the collision without delay while simultaneously shielding a driver of vehicle from feeling the drop in steering force.

Abstract: This document describes change detection criteria for updating sensor-based maps. Based on an indication that a registered object is detected near a vehicle, a processor determines differences between features of the registered object and features of a sensor-based reference map. A machine-learned model is trained using self-supervised learning to identify change detections from inputs. This model is executed to determine whether the differences satisfy change detection criteria for updating the sensor-based reference map. If the change detection criteria is satisfied, the processor causes the sensor-based reference map to be updated to reduce the differences, which enables the vehicle to safely operate in an autonomous mode using the updated reference map for navigating the vehicle in proximity to the coordinate location of the registered object.

Abstract: A camera adjustment system includes a camera, an actuator, an inertial-measurement-unit, and one or more controller-circuits. The camera renders an image of lane-markings of a roadway traveled by a host-vehicle. The actuator is operable for controlling an aim-direction of the camera. The inertial-measurement-unit detects relative-movement of the host-vehicle. The one or more controller-circuits are in communication with the camera, the actuator, and the inertial-measurement-unit. The one or more controller-circuits determine whether a range-of-detection of the lane-markings in the image is less than a detection-threshold and adjust the aim-direction based on the relative-movement.

Abstract: A camera adjustment system includes a camera, an actuator, an inertial-measurement-unit, and one or more controller-circuits. The camera renders an image of lane-markings of a roadway traveled by a host-vehicle. The actuator is operable for controlling an aim-direction of the camera. The inertial-measurement-unit detects relative-movement of the host-vehicle. The one or more controller-circuits are in communication with the camera, the actuator, and the inertial-measurement-unit. The one or more controller-circuits determine whether a range-of-detection of the lane-markings in the image is less than a detection-threshold and adjust the aim-direction based on the relative-movement.

Abstract: A windshield-wiper system includes a precipitation-detector, a windshield-wiper actuator, an object-detector, and a controller. The precipitation-detector detects precipitation proximate to a host-vehicle. The windshield-wiper actuator clears the precipitation from a windshield of the host-vehicle. The object-detector detects a distance of an object to the host-vehicle. The controller is in communication with the precipitation-detector, the windshield-wiper actuator, and the object-detector. The controller determines when the precipitation is present based on the precipitation-detector, determines the distance from the object to the host-vehicle based on the object-detector, and adjusts a speed of the windshield-wiper actuator when the precipitation is detected and the object is less than a distance-threshold away from the host-vehicle.

Abstract: A windshield-wiper system includes a precipitation-detector, a windshield-wiper actuator, an object-detector, and a controller. The precipitation-detector detects precipitation proximate to a host-vehicle. The windshield-wiper actuator clears the precipitation from a windshield of the host-vehicle. The object-detector detects a distance of an object to the host-vehicle. The controller is in communication with the precipitation-detector, the windshield-wiper actuator, and the object-detector. The controller determines when the precipitation is present based on the precipitation-detector, determines the distance from the object to the host-vehicle based on the object-detector, and adjusts a speed of the windshield-wiper actuator when the precipitation is detected and the object is less than a distance-threshold away from the host-vehicle.

Abstract: A camera adjustment system includes a camera, an actuator, an inertial-measurement-unit, and one or more controller-circuits. The camera renders an image of lane-markings of a roadway traveled by a host-vehicle. The actuator is operable for controlling an aim-direction of the camera. The inertial-measurement-unit detects relative-movement of the host-vehicle. The one or more controller-circuits are in communication with the camera, the actuator, and the inertial-measurement-unit. The one or more controller-circuits determine whether a range-of-detection of the lane-markings in the image is less than a detection-threshold and adjust the aim-direction based on the relative-movement.

Abstract: A camera adjustment system includes a camera, an actuator, an inertial-measurement-unit, and one or more controller-circuits. The camera renders an image of lane-markings of a roadway traveled by a host-vehicle. The actuator is operable for controlling an aim-direction of the camera. The inertial-measurement-unit detects relative-movement of the host-vehicle. The one or more controller-circuits are in communication with the camera, the actuator, and the inertial-measurement-unit. The one or more controller-circuits determine whether a range-of-detection of the lane-markings in the image is less than a detection-threshold and adjust the aim-direction based on the relative-movement.

Abstract: A windshield-wiper system includes a precipitation-detector, a windshield-wiper actuator, an object-detector, and a controller. The precipitation-detector detects precipitation proximate to a host-vehicle. The windshield-wiper actuator clears the precipitation from a windshield of the host-vehicle. The object-detector detects a distance of an object to the host-vehicle. The controller is in communication with the precipitation-detector, the windshield-wiper actuator, and the object-detector. The controller determines when the precipitation is present based on the precipitation-detector, determines the distance from the object to the host-vehicle based on the object-detector, and adjusts a speed of the windshield-wiper actuator when the precipitation is detected and the object is less than a distance-threshold away from the host-vehicle.

Abstract: A lane keeping system for a vehicle includes a first roll angle sensor configured to provide a first signal indicative of dynamic vehicle body roll. A second roll angle sensor is configured to provide a second signal indicative of an angle between vehicle sprung and unsprung masses. A lane keeping system (LKS) controller is in communication with the first and second roll angle sensors. The LKS controller is configured to discern a vehicle roll angle in response to the first and second signals based upon effects of a lateral wind force on the vehicle. The LKS controller is configured to produce a correction in response to the determined lateral wind force effects to maintain the vehicle along a desired path.

Abstract: A lane-keeping system for an automated vehicle includes a lane-detector, an object-detector, and a controller. The lane-detector indicates which lane of a roadway is occupied by a host-vehicle. The object-detector detects objects proximate to the host-vehicle. The controller is in communication with the lane-detector and the object-detector. The controller is configured to operate the host-vehicle to follow a first-lane using the lane-detector when no object is detected by the object-detector in the first-lane that warrants a lane-change and no lane-change from the first-lane is initiated by an operator of the host-vehicle, and allow a lane-change to a second-lane when initiated by the operator. The controller is also configured to initiate a lane-change to the first-lane from the second-lane after a first-time-interval after the lane-change to the second-lane that was initiated by the operator when the first-lane is available for unimpeded travel by the host-vehicle for greater than a second-time-interval.

Abstract: A cross-traffic detection system suitable for use on an automated vehicle includes an object-detector and a controller. The object-detector is used to determine locations of a moving-object relative to a host-vehicle. Each of the locations is indicated by a lateral-distance and a longitudinal-distance of the moving-object from the host-vehicle. The controller is in communication with the object-detector. The controller is configured to accumulate a plurality of first-longitudinal-distances of a first-vehicle at a plurality of predetermined-lateral-distances, and determine a path-history of the first-vehicle based on linear-interpolation between successive instances of the plurality of first-longitudinal-distances at corresponding instances of the plurality of predetermined-lateral-distances.