Abstract: System, methods, and other embodiments described herein relate to providing post-takeover complexity. In one embodiment, a method includes receiving a potential disengagement event; determining a takeover location based on the potential disengagement event; determining a post-takeover complexity measure based on the takeover location; and generating a notification based on the post-takeover complexity measure.

Abstract: System, methods, and other embodiments described herein relate to implementing low complexity takeover request locations. In one embodiment, a method includes receiving a potential disengagement event; determining a default takeover location based on the potential disengagement event; determining a preferred takeover location prior to the default takeover location; and generating a takeover request at the preferred takeover location.

Abstract: System, methods, and other embodiments described herein relate to providing visual cues on a steering apparatus of a vehicle. In one embodiment, a method includes determining a difference between a current angle of a steering apparatus of a vehicle and a recommended angle of the steering apparatus. The method further includes illuminating a region of a grip of the steering apparatus based upon the difference and a position of a hand of an operator of the vehicle on the grip. The method additionally includes unilluminating the region as the steering apparatus is rotated from the current angle to the recommended angle.

Abstract: The disclosure generally relates to methods for assisting a driver of a vehicle that include monitoring the driver's actions, during a first portion of time that starts when the driver begins to engage in a surveillance type action and ends when the driver ends the surveillance type action, activating one or more feedback devices, when the driver engages in a surveillance type action, monitoring the driver's actions during a second portion of time that beings when the driver ends the surveillance type action, and ends when the driver begins the surveillance type action, and activating one or more feedback devices, during the second portion of time when the driver engages in a driving maneuver and fails to engage in the surveillance type action.

Abstract: System, methods, and other embodiments described herein relate to vigilance evaluator. In one embodiment, a method includes receiving a vertical force measurement based on a force sensor attached to a steering column; and estimating a level of operator vigilance based on the vertical force measurement.

Abstract: Systems and methods for increasing the privacy of occupants of a vehicle are disclosed. In one example, a system includes a processor and a memory that has a privacy module with instructions. The instructions cause the processor to determine a first vehicle viewing area of a first vehicle and a second vehicle viewing area of a second vehicle. In response to determining when the first vehicle viewing area at least partially overlaps the second vehicle viewing area, the instructions cause the processor to send a control signal to control a longitudinal position of the first vehicle and/or the second vehicle such that the first vehicle viewing area does not overlap the second vehicle viewing area.

Abstract: Systems and methods are provided to notify an operator of an active and correctly operating driving automation system. More specifically, the notification is executed through modulation of longitudinal vehicle dynamics based on cruising speed or following distance to a leading vehicle.

Abstract: Systems, methods, and other embodiments described herein relate to keeping an operator of a host vehicle that is semi-autonomous or autonomous engaged. In one embodiment, a method includes determining whether a disengagement ratio of the host vehicle is below a predetermined threshold value and determining whether driving conditions at an upcoming road segment are conducive for disengagement of autonomous vehicle control in the host vehicle. The method includes disengaging the autonomous vehicle control in the host vehicle in response to at least the disengagement ratio being below the predetermined threshold value and the driving conditions being conducive for the disengagement of the autonomous vehicle control.

Abstract: System, methods, and other embodiments described herein relate to mode confusion avoidance. In one embodiment, a method includes selecting a routine path; determining a likelihood of expected autonomous driving assistance based on a location within the routine path; and generating a notification if autonomous driving assistance has not been enabled and the likelihood exceeds a threshold.

Abstract: A system for aiding an individual to cause a vehicle to make a turn correctly can include a processor and a memory. The memory can store a communications module and a controller module. The communications module can cause the processor to obtain information about a specific side of a road on which the vehicle is to be operated. The communications module can cause the processor to obtain information about a degree of familiarity of the individual in operating the vehicle on the specific side. The communications module can cause the processor to obtain information about a direction of the turn. The controller module can cause the processor to cause, in response to the degree of familiarity being less than a threshold and based on the information about the direction, a visual aid to be possibly presented to aid the individual to cause the vehicle to make the turn correctly.

Abstract: Systems, methods, and other embodiments described herein relate to improving passenger compartment air quality in a vehicle. In one embodiment, a method includes, responsive to acquiring sensor data that includes at least air quality information about a surrounding environment of an ego vehicle, analyzing the sensor data to determine whether the air quality information satisfies an action threshold specifying that air around the ego vehicle is of a poor quality. The method includes identifying a source of the air having the poor quality, including whether a leading vehicle in front of the ego vehicle is the source. The method includes generating a response to the air having the poor quality according to the source. The method includes controlling the ego vehicle according to the response.

Abstract: An estimated time of arrival of a vehicle can be adjusted based on conditions at a destination. An arrival time at a destination can be determined. It can be determined whether a condition will exist at the destination at the arrival time. Responsive to determining that the condition will exist at the destination at the arrival time, a route and/or a navigation of the vehicle can be adjusted to arrive at the destination to avoid the condition.

Abstract: System, methods, and other embodiments described herein relate to communicating a blending parameter. In one embodiment, a method includes obtaining a blending parameter that is indicative of a degree to which control of a vehicle is shared between an operator of the vehicle and an advanced driver-assistance system (ADAS) of the vehicle. The method further includes determining a feedback parameter based upon the blending parameter and a psychophysical model, wherein the psychophysical model optimizes a relationship between the blending parameter and the feedback parameter such that sensory feedback based upon the feedback parameter is perceived to be proportional to the blending parameter. The method further includes causing a feedback modality of a steering apparatus of the vehicle to provide the sensory feedback based upon the feedback parameter.

Abstract: System, methods, and other embodiments described herein relate to enhancing operator vigilance without causing an adverse reaction. In one embodiment, a method includes receiving a disengagement likelihood; operating a steering system controlling one or more wheels based on a steering signal; selecting a stimulus pattern that if executed causes the steering system to deviate the one or more wheels from the steering signal; and executing the stimulus pattern if the disengagement likelihood is above a first threshold.

Abstract: System, methods, and other embodiments described herein relate to enhancing operator vigilance without causing an adverse reaction. In one embodiment, a method includes receiving a disengagement likelihood; selecting a stimulus pattern that if executed adjusts a vehicle function; and executing the stimulus pattern if the disengagement likelihood is above a first threshold and below a second threshold.

Abstract: Systems and methods for assisting an operator in operating vehicle controls are disclosed herein. One embodiment detects that an operator is touching a control in a vehicle and automatically takes, in response to the operator touching the control, one or more actions to assist the operator with regard to the vehicle being a left-hand-drive vehicle or a right-hand-drive vehicle.

Abstract: A tool transport device includes a moving device, a tool attachment/detachment robot (30), a tool holding device (20), and a controller and transports a tool body (TB) between a tool magazine of a machine tool and a tool storage device. The tool attachment/detachment robot (30) and the tool holding device (20) are arranged on a moving platform (15) of the moving device, and the moving device moves the moving platform (15) to a working position for the tool magazine and a working position for the tool storage device. The tool attachment/detachment robot (30) transports the tool body (TB) by gripping an outer surface of the tool body (TB). The tool holding device (20) has a tool holding member (21, 23) having a cutout-shaped holding portion (22, 24) formed on a side face thereof. The tool body (TB) is to be held by two parallel engagement surfaces formed in a direction perpendicular to an axis of the tool body (TB) engaging with the holding portion (22, 24).

Abstract: Systems and methods are provided for modulating longitudinal vehicle dynamics according to a calculated probability of future unplanned disengagement of a driving automation system. In particular, some embodiments aim to alert drivers of both a likelihood of unplanned disengagement, as well as a source of unplanned disengagement.

Abstract: Extended reality content in a video can be varied based on a risk level of an external environment of a vehicle. The video can be of an external environment of a vehicle can be presented in real-time on a display located within the vehicle. The display can be a video pass through display. The display can be an in-vehicle display, or it can be a part of a video pass-through extended reality headset. The video can present a view of an external environment of the vehicle as well as extended reality content. A risk level of the external environment of the vehicle can be determined. An amount of the extended reality content presented in the video can be varied based on the risk level.

Abstract: System, methods, and other embodiments described herein relate to implementing and calibrating a learning model for inferring operator intent by estimating grip intensity. In one embodiment, a method includes estimating, using a learning model during a driving scenario, first grip intensity on a steering device for a vehicle according to initial image data depicting a hand of an operator gripping outside set areas that have pressure sensors. The method also includes calibrating the learning model for the operator and the steering device using grip measurements and additional image data acquired from gripping inside the set areas. The method also includes computing, using the learning model during the driving scenario, second grip intensity outside the set areas on the steering device according to hand images acquired about the operator. The method also includes adapting a vehicle parameter of the vehicle according to the second grip intensity.