Abstract: The present disclosure relates to a method performed by an intention indicating system of a vehicle, for indicating to a potential vehicle occupant thereof an ongoing or impending autonomous kinematic action of the vehicle. The intention indicating system determines an ongoing or impending autonomous kinematic action of the vehicle. The intention indicating system further provides, with support from a light providing device including one or more light sources adapted to emit light, which light providing device is provided continuously and/or intermittently along a majority of a horizontal circumference of the vehicle, a visual light output visible at least from an inside of said vehicle representing the autonomous kinematic action. The disclosure also relates to an intention indicating system in accordance with the foregoing, and further to a vehicle including such an intention indicating system.

Abstract: A method performed by an intention indicating system of a vehicle, for indicating to a potential observer an ongoing or impending autonomous kinematic action of the vehicle. The method includes determining an ongoing or impending autonomous kinematic action of the vehicle and performing a vertical vehicle motion representing the autonomous kinematic action, the vertical vehicle motion including raising and/or lowering a front portion and/or a rear portion of a vehicle body of the vehicle.

Abstract: The present invention relates to a method of evaluating a current risk of mismatch between actual driving automation capabilities of a vehicle and driving automation capabilities of the vehicle expected by a driver. The method comprises monitoring at least one physical property of the driver indicative of a gaze direction; determining a first visual attention metric value indicative of a level of visual attention to the road ahead; comparing the first visual attention metric value to a first threshold value; and providing, when the comparison indicates that the current level of visual attention to the road is lower than the first threshold level, a signal indicative of an elevated risk of expectation mismatch.

Abstract: The present invention relates to a method of evaluating a current risk of mismatch between actual driving automation capabilities of a vehicle and driving automation capabilities of the vehicle expected by a driver. The method comprises monitoring at least one physical property of the driver indicative of a gaze direction; determining a first visual attention metric value indicative of a level of visual attention to the road ahead; comparing the first visual attention metric value to a first threshold value; and providing, when the comparison indicates that the current level of visual attention to the road is lower than the first threshold level, a signal indicative of an elevated risk of expectation mismatch.

Abstract: A method and system operable for detecting and adequately warning a driver that is determined to be of a unique out-of-the-loop class of drivers that mistakenly believe that a road vehicle operating in a driver-assist or self-driving (i.e., piloted-driving) mode will automatically identify and react to a perceived or sudden threat. A method and system operable for detecting and adequately warning an inattentive, drowsy, and/or out-of-the-loop driver and assessing and confirming the driver's adequate response to the associated warning prompt(s), which may include audio, visual, haptic, and, more preferably, brake pulse or the like warning prompt(s).

Abstract: The present disclosure relates to a method performed by an intention indicating system of a vehicle, for indicating to a potential observer an ongoing or impending autonomous kinematic action of the vehicle. The intention indicating system determines an ongoing or impending autonomous kinematic action of the vehicle. The intention indicating system further provides, with support from a light providing device including one or more light sources adapted to emit light, which light providing device is provided continuously and/or intermittently along a majority of a horizontal circumference of the vehicle, a visual light output visible at least from an outside of said vehicle representing the autonomous kinematic action. The disclosure also relates to an intention indicating system in accordance with the foregoing, and further to a vehicle including such an intention indicating system.

Abstract: The present invention relates to a method of evaluating a current risk of mismatch between actual driving automation capabilities of a vehicle and driving automation capabilities of the vehicle expected by a driver. The method comprises monitoring at least one physical property of the driver indicative of a gaze direction; determining a first visual attention metric value indicative of a level of visual attention to the road ahead; comparing the first visual attention metric value to a first threshold value; and providing, when the comparison indicates that the current level of visual attention to the road is lower than the first threshold level, a signal indicative of an elevated risk of expectation mismatch.

Abstract: The present disclosure relates to a method performed by an intention indicating system of a vehicle, for indicating to a potential observer an ongoing or impending autonomous kinematic action of the vehicle. The intention indicating system determines an ongoing or impending autonomous kinematic action of the vehicle. The intention indicating system further provides, with support from a light providing device including one or more light sources adapted to emit light, which light providing device is provided continuously and/or intermittently along a majority of a horizontal circumference of the vehicle, a visual light output visible at least from an outside of said vehicle representing the autonomous kinematic action. The disclosure also relates to an intention indicating system in accordance with the foregoing, and further to a vehicle including such an intention indicating system.

Abstract: A method performed by an intention indicating system of a vehicle, for indicating to a potential observer an ongoing or impending autonomous kinematic action of said vehicle, said method including: determining an ongoing or impending autonomous kinematic action of said vehicle; and performing a vertical vehicle motion representing said autonomous kinematic action, said vertical vehicle motion including raising and/or lowering a front portion and/or a rear portion of a vehicle body of said vehicle.

Abstract: The present disclosure relates to a method performed by an intention indicating system of a vehicle, for indicating to a potential vehicle occupant thereof an ongoing or impending autonomous kinematic action of the vehicle. The intention indicating system determines an ongoing or impending autonomous kinematic action of the vehicle. The intention indicating system further provides, with support from a light providing device including one or more light sources adapted to emit light, which light providing device is provided continuously and/or intermittently along a majority of a horizontal circumference of the vehicle, a visual light output visible at least from an inside of said vehicle representing the autonomous kinematic action. The disclosure also relates to an intention indicating system in accordance with the foregoing, and further to a vehicle including such an intention indicating system.

Abstract: A method and system operable for detecting and adequately warning a driver that is determined to be of a unique out-of-the-loop class of drivers that mistakenly believe that a road vehicle operating in a driver-assist or self-driving (i.e., piloted-driving) mode will automatically identify and react to a perceived or sudden threat. A method and system operable for detecting and adequately warning an inattentive, drowsy, and/or out-of-the-loop driver and assessing and confirming the driver's adequate response to the associated warning prompt(s), which may include audio, visual, haptic, and, more preferably, brake pulse or the like warning prompt(s).

Abstract: A device and method for safety stoppage of an autonomous road vehicle having a localization system and sensors for monitoring the vehicle surroundings and motion, and a signal processing system for processing sensor signals enabling an autonomous drive mode. A processor continuously predicts where a drivable space exists, calculates and stores a safe trajectory to a stop within the drivable space, determines a current traffic situation, and determines any disturbances in sensor data, vehicle systems or components enabling the autonomous drive mode. If an incapacitating disturbance is determined, a request for a driver to take control is signaled and it is determined if the driver has assumed control. If not, the vehicle is controlled to follow the most recent safe trajectory to a stop in a safe stoppage maneuver during which, or after, one or more risk mitigation actions adapted to the determined current traffic situation are performed.

Abstract: A method is provided for providing a tutorial message to a driver in a vehicle using an in-vehicle tutorial system including a multimodal user interface. The method includes assigning an area of improvement, including at least one tutorial task, to the tutorial system, identifying a driving context for which a tutorial task is to be performed, based on the tutorial task and the driving context, selecting a tutorial message encouraging a desired driving behavior, and providing the selected tutorial message to the driver using the multimodal user interface.

Abstract: An optical marker apparatus or device for tracking and compensating for patient motion during a medical imaging scan can comprise one or more optical markers, one or mounts, and a substrate. The one or more optical markers can be adapted to be detected by one or more detectors and/or cameras of a medical imaging scanner and/or motion tracking system. One or more mounts can be configured to attach the one or more markers to the substrate. The substrate, in turn, can be configured to be attached to one or more regions of a subject patient's body. For example, in some embodiments, a substrate can be adapted to be placed or otherwise attached over a nose bridge of a patient.

Abstract: A device and method for safety stoppage of an autonomous road vehicle having a localization system and sensors for monitoring the vehicle surroundings and motion, and a signal processing system for processing sensor signals enabling an autonomous drive mode. A processor continuously predicts where a drivable space exists, calculates and stores a safe trajectory to a stop within the drivable space, determines a current traffic situation, and determines any disturbances in sensor data, vehicle systems or components enabling the autonomous drive mode. If an incapacitating disturbance is determined, a request for a driver to take control is signaled and it is determined if the driver has assumed control. If not, the vehicle is controlled to follow the most recent safe trajectory to a stop in a safe stoppage maneuver during which, or after, one or more risk mitigation actions adapted to the determined current traffic situation are performed.

Abstract: A method is provided for providing a coaching message to a driver of a vehicle for encouraging a desired driving behavior of the vehicle, the coaching message provided by a coaching arrangement included with the vehicle, the method including determining a driving context for the vehicle, determining a coaching level for the driving context, and selecting the coaching messages to be provided to the driver using a multimodal user interface of the coaching arrangement based on a correlation of the determined coaching level and the determined driving context.

Abstract: A method is provided for providing a tutorial message to a driver in a vehicle using an in-vehicle tutorial system including a multimodal user interface. The method includes assigning an area of improvement, including at least one tutorial task, to the tutorial system, identifying a driving context for which a tutorial task is to be performed, based on the tutorial task and the driving context, selecting a tutorial message encouraging a desired driving behavior, and providing the selected tutorial message to the driver using the multimodal user interface.

Abstract: System for improving a performance estimation of an operator of a vehicle, comprising a first module implementing a first method for estimating a performance state of vehicle operation, a second module implementing a second method for estimating at least one of a physiological and behavioral state of the operator, a device for sharing an estimated state between one of the first and the second module and the other one of the first and the second module, wherein the implemented estimation method of one of the first and the second module is adjusted based on the state of the other one of the first and the second module, thereby improving the estimation of at least one of the performance state of vehicle operation and the physiological and/or behavioral state of the operator.

Abstract: Methods and systems are disclosed for presenting information for viewing by a driver of, e.g., a vehicle, of a train, a captain of a ship, a pilot of an airplane, or by any other person who has to gaze in a certain direction, especially for observing or monitoring the environment such as a road in case of a vehicle driver. The information is presented in such a way that such a person is less impaired with respect to his ability to detect changes in the environment when reading such information so that safety especially of driving a vehicle is considerably improved.

Abstract: A method of analyzing data based on the physiological orientation of a driver is provided. Data is descriptive of a driver's gaze-direction is processing and criteria defining a location of driver interest is determined. Based on the determined criteria, gaze-direction instances are classified as either on-location or off-location. The classified instances can then be used for further analysis, generally relating to times of elevated driver workload and not driver drowsiness. The classified instances are transformed into one of two binary values (e.g., 1 and 0) representative of whether the respective classified instance is on or off location. The uses of a binary value makes processing and analysis of the data faster and more efficient. Furthermore, classification of at least some of the off-location gaze direction instances can be inferred from the failure to meet the determined criteria for being classified as an on-location driver gaze direction instance.