A vehicular display device includes: an information screen display device that displays an information screen on a display unit when a vehicle stops; a gazing point position identifying device that identifies a position of a driver's gazing point; a gazing point position determining device that determines whether a gazing point position is disposed on the display unit; a monitoring device that starts monitoring of a peripheral situation of the vehicle when the gazing point position is disposed on the display unit; a startable state determining device that determines whether the vehicle is in a startable state, based on the peripheral situation; a situation screen display device that displays a situation screen on a rear side of the information screen in a superimposed manner when the vehicle is in the startable state; and a transparentizing device that transparentizes the information screen.

Disclosed herein is a control method of an electronic apparatus. The control method of an electronic apparatus includes: detecting a crosswalk from an image data photographed in a camera during a period in which a vehicle is operated; generating an object indicating the detected crosswalk; and outputting the generated object through augmented reality.

Example blind spot detection systems and methods are described. In one implementation, a primary vehicle detects a secondary vehicle ahead of the primary vehicle in an adjacent lane of traffic. A method determines dimensions of the secondary vehicle and estimates a vehicle class associated with the secondary vehicle based on the dimensions of the secondary vehicle. The method also identifies a side-view mirror location on the secondary vehicle and determines a blind spot associated with the secondary vehicle based on the vehicle class and the side-view mirror location.

A terrestrial vehicle such as a truck has one or more video cameras mounted to capture a field of view that includes looking forward and ahead of the vehicle. The vehicle also includes one or more rear-mounted, rear-facing displays that are operably coupled to such a camera. Forward-looking images from the front side of the vehicle are presented on the aforementioned displays to thereby provide a viewer positioned behind the vehicle with that forward-looking image of the road ahead. So configured, drivers looking to pass such a vehicle are provided with real-time information regarding circumstances that can greatly affect the safety of such an action and can use that information to better inform their decisions and actions.

A system uses data captured by vehicle-mounted sensors to generate a view of a ground surface. The system does this by receiving digital image frames and associating a location and pose of the vehicle that captured the image with each digital image frame. The system will access a three dimensional (3D) ground surface estimation model of the ground surface, select a region of interest (ROI) of the ground surface, and select a vehicle pose. The system will identify digital image frames that are associated with the pose and also with a location that corresponds to the ROI. The system will generate a visual representation of the ground surface in the ROI by projecting ground data for the ROI from the ground surface estimation model to normalized 2D images that are created from the digital image frames. The system will save the visual representation to a two-dimensional grid.

A camera surround view system for a vehicle includes at least one vehicle camera that supplies camera images processed by a data processing unit to generate an image of the surroundings. The image of the surroundings being displayed on a display unit. The data processing unit re-projects textures, which are detected by the vehicle cameras, on an adaptive re-projection surface, which is similar to the area surrounding the vehicle, the re-projection surface being calculated based on sensor data provided by vehicle sensors. The data processing unit adapts the re-projection surface depending on a position and an orientation of a virtual camera.

Systems and method are provided for a towing vehicle towing a trailer having at least one imaging device. A method includes: receiving, from a first imaging device coupled to the trailer, a first image stream having a plurality of first images; receiving, from a second imaging device coupled to the vehicle, a second image stream having a plurality of second images; determining, at least one common feature between a first image of the first images and a second image of the second images; determining a first distance from the first imaging device to the at least one common feature and a second distance from the second imaging device to the at least one common feature; and determining, a position of the first imaging device relative to the vehicle based on the first distance, the second distance and a known position and pose of the second imaging device.

Methods and devices for actively modifying a field of view of an autonomous vehicle in view of constraints are disclosed. In one embodiment, an example method is disclosed that includes causing a sensor in an autonomous vehicle to sense information about an environment in a first field of view, where a portion of the environment is obscured in the first field of view. The example method further includes determining a desired field of view in which the portion of the environment is not obscured and, based on the desired field of view and a set of constraints for the vehicle, determining a second field of view in which the portion of the environment is less obscured than in the first field of view. The example method further includes modifying a position of the vehicle, thereby causing the sensor to sense information in the second field of view.

[Object] To provide stable infrared images. [Solution] Provided is an image processing device including: an acquisition unit that acquires an infrared image; and a control unit that variably controls a target wavelength of the infrared image acquired by the acquisition unit and controls gradation of the infrared image depending on the target wavelength.

A driving assistance system includes at least one receiving module designed to receive perception data from a driving environment, a control module designed to control an on-board system, a conversion module designed to generate, on the basis of the perception data, a plurality of instances of classes of an ontology stored by the driving assistance system and defining relations between classes, and a reasoning tool designed to deduce, on the basis of the ontology, at least one property of an instance of the plurality. The control module is designed to control the on-board system on the basis of the deduced property.