A control device is used in a subject vehicle capable of performing autonomous driving with no obligation for a driver to monitor periphery. The control device determines whether a permission state, in which a specific act other than driving is permitted to the driver, is continued or not when approach of an emergency vehicle to the subject vehicle is detected during an autonomous cruising period in which the autonomous driving is being performed. The control device restricts display of a content provided to the driver when the permission state of the specific act is determined to be not continued.

An apparatus and method for providing a top view image of a parking space are provided. The apparatus includes a steering angle sensor that measures a steering angle of a vehicle, a top view image generator that generates a top view image of a parking space depending on travel of the vehicle, a display that displays the top view image generated by the top view image generator, and a controller that captures the top view image displayed by the display and generates a panorama top view image by connecting the current top view image generated by the top view image generator and the captured previous top view image, based on the steering angle measured by the steering angle sensor.

Controlling a display of an augmented reality head-up display for a motor vehicle. The content to be displayed by the augmented reality head-up display may be initially analyzed. In so doing, there can optionally be a prioritization of the content to be displayed. Subsequently, a position of an eyebox of the augmented reality head-up display is adapted on the basis of the content to be displayed.

A method for controlling an autonomous vehicle including: obtaining trip information of a current trip of a user of the autonomous vehicle and historical traffic information related to the current trip; selecting an autonomous driving (AD) mode that is suitable for the current trip from a plurality of pre-defined AD modes; comparing time required for the autonomous vehicle to complete a portion of the current trip in the selected AD mode with historical average time to complete the portion of the current trip, the historical average time being acquired based on the historical traffic information; and dynamically adjusting driving of the autonomous vehicle based on the comparison to minimize the difference between the time required for the autonomous vehicle to complete the portion of the current trip in the selected AD mode and the historical average time.

A vehicle of the disclosure includes an apparatus for assisting driving of a host vehicle. The apparatus for assisting driving of the host vehicle includes a display configured to display vehicle driving information; an image obtainer configured to obtain an image of a road; a distance detector configured to detect surrounding objects; and a controller configured to calculate notification information based on the obtained image information of the road, the detected surrounding objects, and the vehicle driving information, and to display the calculated notification information to a driver in real time.

A portable device for vehicle-information integration and warning is mounted in a vehicle and has a body, a ring-type warning light, a first communication interface, a second communication interface, and a processor. The body has a display mounted on a surface of the body. The ring-type warning light surrounds the display. The first communication interface communicates with a dashboard system of the vehicle. The second communication interface communicates with an edge computing device. The processor receives dashboard data from the dashboard system and drives the display to display a dashboard-information screen. When the processor receives a traffic datum from the edge computing device, the processor drives the display to display a traffic warning message. Besides, the processor drives the ring-type warning light according to the dashboard data or the traffic datum.

There is provided a display device for a vehicle, the display device including: a display unit that is visible to an occupant of a vehicle; a memory; and a processor that is connected to the memory, the processor changing a content image displayed on the display unit so as to be displayed in the same direction as a direction in which a travel path of the vehicle curves.

A driver vision assistance system for a vehicle includes a driver state monitoring system configured to monitor a state of a driver of the vehicle including at least a direction of an eye gaze of the driver, a set of vehicle perception systems configured to detect objects proximate to the vehicle, a driver interface configured to output at least one of visual, audio, and haptic information to the driver, and a controller configured to detect a visual difficulty scenario where the driver is having difficulty reading information external to the vehicle, based on the direction of eye gaze of the driver and using the set of vehicle perception systems, detecting a most-likely object that the driver is targeting and having difficulty reading the relative information, and using the driver interface, output at least one of visual, audio, and haptic information assisting the driver in ascertaining the information.

Sensor data captured by one or more sensors coupled to a first entity are received by an apparatus. The sensor data comprises a location of the first entity or representation of surroundings of the first entity. Based at least in part on the sensor data, a second entity is identified. Based at least in part on trajectories along which the first and second entities are respectively traveling, it is expected that the second entity will enter a zone defined around the first entity. Based at least in part on the sensor data, an amount of time until the second entity will enter the zone is determined. The amount of time until the second entity will enter the zone is provided as (a) input to a navigation function and/or (b) to be displayed as a countdown via a display element and/or speaker element of the first entity.

Methods and systems for improving vehicular safety by utilizing uplift modeling techniques to improve a driving tip treatment generation model are provided. According to embodiments, a tip server can analyze telematics data associated with operation of one or more vehicles to determine that a driving tip should be provided to a driver of a vehicle. The tip server then utilize a treatment generation model to determine a treatment for how to provide the driving tip in a manner optimized for the particular driver. The tip server can analyze additional telematics data to determine an effectiveness of the driving tip and to update the treatment generation model in accordance with uplift modeling techniques.