An awakening degree detecting device outputs awakening degree information corresponding to an awakening degree of a driver of a vehicle. A stimulus providing device provides the driver with a stimulus including at least one of a vibration stimulus imparting vibration and an apparent motion stimulus giving an illusion of motion presence. A control device outputs, based on the awakening degree information, a first control signal causing the stimulus providing device to provide the stimulus in a case where the awakening degree is less than a first threshold, and to output a second control signal causing the stimulus providing device to provide the stimulus after the first control signal is outputted.

An awakening degree detecting device outputs awakening degree information corresponding to an awakening degree of a driver of a vehicle. A stimulus providing device provides the driver with a stimulus including at least one of a vibration stimulus imparting vibration and an apparent motion stimulus giving an illusion of motion presence. A control device outputs, based on the awakening degree information, a first control signal causing the stimulus providing device to provide the stimulus in a case where the awakening degree is less than a first threshold, and to output a second control signal causing the stimulus providing device to provide the stimulus after the first control signal is outputted.

Embodiments herein can determine an optimal route for an autonomous electric vehicle. The system may score viable routes between the start and end locations of a trip using a numeric or other scale that denotes how viable the route is for autonomy. The score is adjusted using a variety of factors where a learning process leverages both offline and online data. The scored routes are not based simply on the shortest distance between the start and end points but determine the best route based on the driving context for the vehicle and the user.

Embodiments herein can determine an optimal route for an autonomous electric vehicle. The system may score viable routes between the start and end locations of a trip using a numeric or other scale that denotes how viable the route is for autonomy. The score is adjusted using a variety of factors where a learning process leverages both offline and online data. The scored routes are not based simply on the shortest distance between the start and end points but determine the best route based on the driving context for the vehicle and the user.

A vehicle operable by an unrestrained or uncontained rider and including a controller programmed to identify a trigger for an autonomous vehicle response. A sensor of the vehicle is in communication with the controller and operable to detect a predefined condition as the trigger. A rider sensor system in communication with the controller includes one or both of: a rider cognition sensor, and a rider physical sensor to detect physical engagement between rider and vehicle. On the condition of the controller determining from the rider sensor system that there is positive rider engagement, the controller is programmed to instruct a first level of autonomous vehicle response to the one or more actuators to effect a change in the operation of the vehicle in response to identification of the trigger. In the absence of positive rider engagement determined by the controller, the first level of autonomous vehicle response is prohibited.

A vehicle operable by an unrestrained or uncontained rider and including a controller programmed to identify a trigger for an autonomous vehicle response. A sensor of the vehicle is in communication with the controller and operable to detect a predefined condition as the trigger. A rider sensor system in communication with the controller includes one or both of: a rider cognition sensor, and a rider physical sensor to detect physical engagement between rider and vehicle. On the condition of the controller determining from the rider sensor system that there is positive rider engagement, the controller is programmed to instruct a first level of autonomous vehicle response to the one or more actuators to effect a change in the operation of the vehicle in response to identification of the trigger. In the absence of positive rider engagement determined by the controller, the first level of autonomous vehicle response is prohibited.

A station device in a biometric pre-identification system uses identity to perform one or more actions. Identities are determined (such as via a backend) using biometric information. A biometric pre-identification device obtains biometric information and/or a digital representation thereof from a person approaching the station device. The biometric pre-identification device transmits such to the station device, facilitating the station to begin and/or perform various actions. The station device begins or performs the actions using the identity determined based on the biometric information before the person arrives at the station device.

A station device in a biometric pre-identification system uses identity to perform one or more actions. Identities are determined (such as via a backend) using biometric information. A biometric pre-identification device obtains biometric information and/or a digital representation thereof from a person approaching the station device. The biometric pre-identification device transmits such to the station device, facilitating the station to begin and/or perform various actions. The station device begins or performs the actions using the identity determined based on the biometric information before the person arrives at the station device.

A method for operating a vehicle includes carrying out a lane-keeping control of the vehicle along a course of a lane travelled in by the vehicle. When lane markings are detected, the course of the lane is determined on a basis of detected lane markings. When lane markings are not detected, the course of the lane is determined in a mapped-based manner on a basis of data from a digital map where a rough localization of the vehicle in the digital map and a fine localization of the vehicle in the digital map is performed.

A method for operating a vehicle includes carrying out a lane-keeping control of the vehicle along a course of a lane travelled in by the vehicle. When lane markings are detected, the course of the lane is determined on a basis of detected lane markings. When lane markings are not detected, the course of the lane is determined in a mapped-based manner on a basis of data from a digital map where a rough localization of the vehicle in the digital map and a fine localization of the vehicle in the digital map is performed.