Abstract: A computer-implemented method and a device for controlling a lane support system of a vehicle are disclosed. The method includes obtaining data indicative of a driver of the vehicle being in an inattentive state, and determining an intended path of the driver at a point in time when the driver enters the inattentive state. The method further includes determining an unintended lateral deviation from the intended path by computing a function representative of a lateral deviation from the intended path of the driver. Moreover, the function is dependent upon at least one of a change in steering wheel angle, and a change in road geometry along the vehicle’s traveling direction while the driver is in the inattentive state. When the determined unintended lateral deviation violates a threshold value, activating the lane support system to output a warning to the driver and/or to execute an intervention.

Abstract: A method for controlling a driving assistance feature of a vehicle is disclosed. The method includes determining a state of a driver of the vehicle by means of a driver monitoring system (DMS) the state of the driver comprising at least one attention parameter, and comparing the determined state of the driver with a predefined attention model. The predefined attention model includes an independent threshold range for each attention parameter. The method further includes controlling the driving assistance feature based on the comparison between the determined state of the driver and the predefined attention model.

Abstract: A method for controlling a driving assistance feature of a vehicle is disclosed. The method comprises determining a state of a driver of the vehicle by means of a driver monitoring system (DMS) the state of the driver comprising at least one attention parameter, and comparing the determined state of the driver with a predefined attention model. The predefined attention model comprises an independent threshold range for each attention parameter. The method further comprises controlling the driving assistance feature based on the comparison between the determined state of the driver and the predefined attention model.

Abstract: A method for controlling vehicle system of a vehicle is disclosed. The method comprises determining an expected path of the vehicle, determining a vehicle trajectory for the determined expected path, and determining at least one required control parameter value of a driver assistance system based on the determined vehicle trajectory. Further, the method comprises comparing the at least one required control parameter value to a predefined threshold scheme associated with the driver assistance system, and sending a signal to a Human Machine Interface, HMI, of the vehicle based on the comparison. Then, the method comprises receiving a feedback signal originating from a user of the vehicle, and controlling the driver assistance system based on the comparison and the received feedback signal.

Abstract: Described herein is a method and system for assisting a driver of a vehicle (1) to drive with precaution. Vehicle environment monitoring sensors (3a, 3b) determines other road users and particular features associated with a traffic situation of the vehicle (1) and hypotheses are applied related to hypothetical threats that may arise based thereupon. A driver level of attention, required to handle the hypothetical threats, and a time until that level will be required is estimated. A current driver level of attention is derived, from driver-monitoring sensors (4). If determined that the estimated required driver level of attention exceeds the current and the time until the estimated driver level of attention will be required is less than a threshold-time (tthres), there is produced at least one of visual (5), acoustic (6) and haptic (7) information to a vehicle driver environment, and/or triggered at least one of automated braking (8) and steering (9) of the vehicle (1).

Abstract: Disclosed is an arrangement and a method for mitigating a forward collision between a host vehicle, having sensors for monitoring a road ahead and wheel brakes, and an oncoming vehicle. The sensors are utilized to estimate parameters of an oncoming vehicle. The estimated parameters are utilized to predict a future path of the oncoming vehicle, and host vehicle parameters are utilized to predict a future path of the host vehicle. The predicted future paths are assessed to determine if a forward collision is likely unavoidable assuming full freedom for performing avoidance maneuvers for both vehicles. The wheel brakes are controlled to reduce a relative longitudinal velocity between the vehicles at a predicted collision instant if determined that a forward collision is likely unavoidable at a determined relative longitudinal velocity above a first threshold.

Abstract: A method for controlling a driving assistance feature of a vehicle is disclosed. The method comprises determining a state of a driver of the vehicle by means of a driver monitoring system (DMS) the state of the driver comprising at least one attention parameter, and comparing the determined state of the driver with a predefined attention model. The predefined attention model comprises an independent threshold range for each attention parameter. The method further comprises controlling the driving assistance feature based on the comparison between the determined state of the driver and the predefined attention model.

Abstract: A method for determining driver distraction in a vehicle is disclosed. The method comprises receiving a signal comprising information about user-interaction with an in-vehicle human machine interface (HMI), and determining a first state of the driver based on the received information. The first state comprises at least one distraction parameter. Further, the method comprises determining a second state of a driver of the vehicle by means of a driver monitoring system (DMS), where the second state of the driver comprises at least one attention parameter, and sending a signal to a control system of the vehicle based on the determined first state of the driver and the determined second state of the driver. A corresponding computer-readable storage media, a control device, and a vehicle are also disclosed.

Abstract: A method for controlling vehicle system of a vehicle is disclosed. The method comprises determining an expected path of the vehicle, determining a vehicle trajectory for the determined expected path, and determining at least one required control parameter value of a driver assistance system based on the determined vehicle trajectory. Further, the method comprises comparing the at least one required control parameter value to a predefined threshold scheme associated with the driver assistance system, and sending a signal to a Human Machine Interface, HMI, of the vehicle based on the comparison. Then, the method comprises receiving a feedback signal originating from a user of the vehicle, and controlling the driver assistance system based on the comparison and the received feedback signal.

Abstract: A commercially available vehicle is modified by coupling a beamed-power transmission system to the vehicle's frame. The beamed-power transmission system is arranged to deliver beamed power to a remote device such as an unmanned aerial vehicle (i.e., UAV or drone). The cooling system of the vehicle is used to cool portions of the beamed-power transmission system. An aiming system aims a power beam produced by the beamed-power transmitter toward the remote device, and a stability system coupled to both the vehicle frame and the beamed-power transmission system maintains three-dimensional constancy of the power beam even when the vehicle frame is in motion. The commercially available vehicle may be an electric vehicle, a gas-electric hybrid vehicle, or the like having a power source that includes batteries, a fuel-cells, or a generator.

Abstract: Described herein is a method and system for assisting a driver of a vehicle (1) to drive with precaution. Vehicle environment monitoring sensors (3a, 3b) determines other road users and particular features associated with a traffic situation of the vehicle (1) and hypotheses are applied related to hypothetical threats that may arise based thereupon. A driver level of attention, required to handle the hypothetical threats, and a time until that level will be required is estimated. A current driver level of attention is derived, from driver-monitoring sensors (4). If determined that the estimated required driver level of attention exceeds the current and the time until the estimated driver level of attention will be required is less than a threshold-time (tthres), there is produced at least one of visual (5), acoustic (6) and haptic (7) information to a vehicle driver environment, and/or triggered at least one of automated braking (8) and steering (9) of the vehicle (1).

Abstract: A method performed by a boundary estimation system for estimating a boundary of a road on which a vehicle is positioned and which comprises at least a first lane marking. The system monitors surroundings of the vehicle, detects one or more positions of the at least first lane marking, and approximates a geometrical representation of the at least first lane marking based on one or more of the detected positions of the at least first lane marking. The system further detects one or more positions of a road boundary of the road, approximates a relative lateral offset between the geometrical representation of the at least first lane marking and the detected road boundary, and defines a fictive outer boundary of at least a section of the road based on laterally shifting at least a section of the geometrical representation of the at least first lane marking the relative lateral offset.

Abstract: A commercially available vehicle is modified by coupling a beamed-power transmission system to the vehicle's frame. The beamed-power transmission system is arranged to deliver beamed power to a remote device such as an unmanned aerial vehicle (i.e., UAV or drone). The cooling system of the vehicle is used to cool portions of the beamed-power transmission system. An aiming system aims a power beam produced by the beamed-power transmitter toward the remote device, and a stability system coupled to both the vehicle frame and the beamed-power transmission system maintains three-dimensional constancy of the power beam even when the vehicle frame is in motion. The commercially available vehicle may be an electric vehicle, a gas-electric hybrid vehicle, or the like having a power source that includes batteries, a fuel-cells, or a generator.

Abstract: A commercially available vehicle is modified by coupling a beamed-power transmission system to the vehicle's frame. The beamed-power transmission system is arranged to deliver beamed power to a remote device such as an unmanned aerial vehicle (i.e., UAV or drone). The cooling system of the vehicle is used to cool portions of the beamed-power transmission system. An aiming system aims a power beam produced by the beamed-power transmitter toward the remote device, and a stability system coupled to both the vehicle frame and the beamed-power transmission system maintains three-dimensional constancy of the power beam even when the vehicle frame is in motion. The commercially available vehicle may be an electric vehicle, a gas-electric hybrid vehicle, or the like having a power source that includes batteries, a fuel-cells, or a generator.

Abstract: Disclosed is an arrangement and a method for mitigating a forward collision between a host vehicle, having sensors for monitoring a road ahead and wheel brakes, and an oncoming vehicle. The sensors are utilized to estimate parameters of an oncoming vehicle. The estimated parameters are utilized to predict a future path of the oncoming vehicle, and host vehicle parameters are utilized to predict a future path of the host vehicle. The predicted future paths are assessed to determine if a forward collision is likely unavoidable assuming full freedom for performing avoidance maneuvers for both vehicles. The wheel brakes are controlled to reduce a relative longitudinal velocity between the vehicles at a predicted collision instant if determined that a forward collision is likely unavoidable at a determined relative longitudinal velocity above a first threshold.

Abstract: A method performed by a boundary estimation system for estimating a boundary of a road on which a vehicle is positioned and which comprises at least a first lane marking. The system monitors surroundings of the vehicle, detects one or more positions of the at least first lane marking, and approximates a geometrical representation of the at least first lane marking based on one or more of the detected positions of the at least first lane marking. The system further detects one or more positions of a road boundary of the road, approximates a relative lateral offset between the geometrical representation of the at least first lane marking and the detected road boundary, and defines a fictive outer boundary of at least a section of the road based on laterally shifting at least a section of the geometrical representation of the at least first lane marking the relative lateral offset.

Abstract: A commercially available vehicle is modified by coupling a beamed-power transmission system to the vehicle's frame. The beamed-power transmission system is arranged to deliver beamed power to a remote device such as an unmanned aerial vehicle (i.e., UAV or drone). The cooling system of the vehicle is used to cool portions of the beamed-power transmission system. An aiming system aims a power beam produced by the beamed-power transmitter toward the remote device, and a stability system coupled to both the vehicle frame and the beamed-power transmission system maintains three-dimensional constancy of the power beam even when the vehicle frame is in motion. The commercially available vehicle may be an electric vehicle, a gas-electric hybrid vehicle, or the like having a power source that includes batteries, a fuel-cells, or a generator.

Abstract: A method is provided for intelligent scaling of torque overlay intervention for a semi-autonomous steering system in a road vehicle having a semi-autonomous steering function arranged to selectively apply a steering wheel overlay torque. If decided that a driver is significantly overriding an intervention, the overlay torque is scaled by a scaling factor being a function of applied steering wheel torque. If decided that the driver has been significantly overriding the intervention for more than a pre-determined first time period, the scaling factor is set to its lowest possible value for a specific driving situation. If decided that the driver has been significantly overriding the intervention for more than a pre-determined second time period, where the pre-determined second time period is equal to or exceeds the pre-determined first time period, the scaling factor is faded-out.

Abstract: A method is provided for intelligent scaling of torque overlay intervention for a semi-autonomous steering system in a road vehicle having a semi-autonomous steering function arranged to selectively apply a steering wheel overlay torque. If decided that a driver is significantly overriding an intervention, the overlay torque is scaled by a scaling factor being a function of applied steering wheel torque. If decided that the driver has been significantly overriding the intervention for more than a pre-determined first time period, the scaling factor is set to its lowest possible value for a specific driving situation. If decided that the driver has been significantly overriding the intervention for more than a pre-determined second time period, where the pre-determined second time period is equal to or exceeds the pre-determined first time period, the scaling factor is faded-out.

Abstract: An arrangement and a method are described for safeguarding driver attentiveness to the task of steering while operating a vehicle having a lane keeping aid system. The arrangement and method provide for measuring a pinion angle and a torsion bar torque when the lane keeping aid system is applying an overlaying steering torque. Driver applied torque is estimated from the measurements. A hands-off metric is calculated based on a relation between the measurements and the estimate. Hands-off is determined based on a comparison of the metric with a predefined threshold. The arrangement and method further provide for evaluating hands-on between torque interventions by the lane keeping aid system. An action is determined based on the determined hands-off and the evaluated hands-on and the action determined performed.