Sound signals that are not audible are generated by one or more speakers disposed in the vehicle. Reflected sound signals from a driver or a passenger of the vehicle that are not audible are received by one or more microphones disposed in the vehicle. A behavior-induced acoustic pattern is detected based on the reflected ultrasound signals. The behavior-induced acoustic pattern is analyzed to recognize a behavior of the driver or the passenger of the vehicle. A response or an alert is generated according to the recognized behavior of the driver or the passenger in the vehicle.

A system for transitioning a vehicle from an autonomous mode in response to a handover event, the system includes one or more processors and a memory device operably coupled with the one or more processors. The memory device stores a driver assessment module, an operational condition adjustment module, and a transitioning module. The driver assessment module configures the one or more processors to determine an ability level and a comfort level of a driver of the vehicle in response to the handover event. The operational condition adjustment module configures the one or more to adjust at least one operating condition of the vehicle to be within the ability level of the driver and comfort level. The transitioning module configures the one or more processors to transition the vehicle from the autonomous mode to a driver input mode.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having autonomous or semi-autonomous operation features are provided. According to certain aspects, a computer-implemented method for generating or updating usage-based insurance policies for autonomous or semi-autonomous vehicles may be provided. A request to generate an insurance quote may be received via wireless communication, and with the customer's permission, risk levels associated with intended usage by the customer of an autonomous or semi-autonomous vehicle may be determined. An insurance policy may be adjusted based upon the risk levels and the intended vehicle usage. The insurance policy may then be presented on the customer's mobile device for review and approval. In some aspects, the vehicle may be rented, and the intended vehicle usage is measured in distance or duration of vehicle operation. Insurance discounts may be provided to risk averse vehicle owners based upon low risk levels.

A vehicular lane centering system is enabled responsive to speed of the vehicle exceeding a threshold speed and includes a camera and a processor. Based on processing of captured image data, the system determines position of a left lane delimiter and a right lane delimiter on the road. The system establishes a left safe zone delimiter based on the determined position of the left lane delimiter and a right safe zone delimiter based on the determined position of the right lane delimiter. With the system enabled, the system takes corrective action responsive to the vehicular lane centering system determining that the vehicle is at risk of unintentionally crossing the left safe zone delimiter or the right safe zone delimiter. When the system does not determine position of the left lane delimiter or the right lane delimiter for a first period of time, corrective action taken by the system is reduced.

The present invention is directed to a safety and security system for vehicles. The safety and security system include a computing unit mounted in a vehicle; one or more optical sensors in electronic communication with the computing unit, the optical sensors are configured for facial recognition and are positioned in the vehicle to capture a face and head movements of a driver. The computing unit equipped with the facial recognition technology and artificial intelligence determined the electiveness of the driver. In case the driver is inattentive, the safety and security system warn the driver and takes any precautionary measure, such as slowing down the speed of the vehicle.

A method for assignment of vehicle control includes receiving route data indicating a route between a starting location of a vehicle and a destination location, and determining an optimal vehicle configuration for the route based on a target vehicle speed and a hybrid torque split. The method further includes receiving a driver requested torque value and determining a passive pedal torque value based on the route data and vehicle powertrain data. The method further includes selectively assigning control of the vehicle to a vehicle system or to a driver of the vehicle based on the driver requested torque value and the passive pedal torque value.

A lane departure prevention control apparatus for a vehicle includes a traveling-environment recognition unit configured to detect lane lines, a steering-angle detector, a vehicle-behavior detector, a predicted departure determination unit, a lane departure prevention control processor, and a steering override determination unit. The predicted departure determination unit is configured to predict whether the vehicle is to depart from the lane. The lane departure prevention control processor is configured to set a target steering angle and execute a lane departure prevention control. The steering override determination unit is configured to check presence of steering override based on the driver's steering-wheel operation. The lane departure prevention control processor is configured to set the target steering angle in a direction to assist the steering-wheel operation in a case where the steering override is present and the target steering angle is in a steering-decrease direction relative to the actual steering angle.

A vehicle control apparatus includes a driving-assist control unit and a remote control unit. The driving-assist control unit is configured to perform an automatic driving control of stopping a vehicle in accordance with detection of an abnormal state of a driver of the vehicle while the vehicle is traveling. The remote control unit is configured to perform a control of transmitting remote control permission notification after the vehicle is stopped by the automatic driving control. The remote control permission notification permits a remote control of the vehicle.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, a computer-implemented method for operating an autonomous or semi-autonomous vehicle may be provided. With a vehicle owner's permission, a vehicle operator identity may be determined; and operating data regarding the autonomous or semi-autonomous vehicle may be received from one or more vehicle-mounted sensors. Based upon the received operating data, (i) autonomous operation risk levels associated with autonomous vehicle operation; and (ii) operator risk levels associated with autonomous vehicle operation by the vehicle operator may be determined. Based upon a comparison of the autonomous operation versus vehicle operator risk levels, the autonomous features may be engaged if it is safer for the vehicle to travel autonomously. Insurance discounts may be provided to risk averse vehicle owners having this safety functionality.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, a computer-implemented method for communicating information regarding a smart infrastructure component to an autonomous or semi-autonomous vehicle may be provided. Sensors may be communicatively connected to an infrastructure communication device, and the infrastructure communication device may generate a message based upon information from the sensors and/or regarding the infrastructure component. The message may be transmitted, and, with the vehicle operator's permission, all or part of the determined message may be presented to the operator of the autonomous or semi-autonomous vehicle. The message may include weather, traffic, ice, or road condition or construction information and facilitate safer vehicle travel. Insurance discounts for customers may be generated based upon their vehicle being equipped with this safety and vehicle damage prevention functionality.