Systems including one or more sensors, coupled to a vehicle, may detect sensor information and provide the sensor information to another computing device for processing. The processing may include analyzing the sensor information to identify one or more risk objects, such as animals, pedestrians, potholes, etc. The processing may further include generating a three-dimensional (3D) risk map, which may be displayed to a passenger in the vehicle. The 3D risk map may illustrate the one or more risk objects as one or more point clouds, respectively, within a virtual world representation of the vehicle's surroundings. Such a display may be used to alert drivers to possible risks while driving. In case of an accident, the 3D risk map may also be leveraged by insurance providers to process insurance claims and to notify customers that an insurance claim has been established.

A vehicle rearward monitoring system configured to monitor an object located behind and above a truck, the vehicle rearward monitoring system including: an object detection unit installed in the truck and configured to detect the object located behind and above an upper end of a rear end of the truck; an object specifying unit configured to specify a position, a size and a velocity vector with respect to the truck of the object detected by the object detection unit; and a collision possibility determination unit configured to determine a possibility of collision of the truck with the object detected by the object detection unit from the position, the size and the velocity vector of the object specified by the object specifying unit, and make a driver of the truck recognize the possibility of collision when it is determined that there is the possibility of collision.

A method for displaying lane information for a vehicle, includes obtaining a digital map; defining localization information of the vehicle; obtaining a route plan of the vehicle; determining a driving lane according to the localization information of the vehicle and the route plan of the vehicle; obtaining coordinates information of lane markings of the driving lane from the digital map; receiving image data from a camera mounted on the vehicle; transforming the lane markings of the driving lane from a coordinate system of the digital map to a coordinate system of the camera; generating a lane guide sign indicating the lane markings of the driving lane in the coordinate system of the camera based on the lane markings of the driving lane transformed to the coordinate system of the camera; and superimposing the lane guide sign of the lane markings of the driving lane on the image data received from the camera.

A gradient change detection system for a moving body for detecting a change in a gradient of a traveling path, the gradient change detection system includes a posture detection unit that detects a posture change amount in a rotation direction about a left-right direction with respect to a traveling direction of a moving body, and a gradient change detector that detects a change in a gradient of the traveling path based on the posture change amount or a variation amount in predetermined unit time of the posture change amount.

The disclosure includes embodiments for concealing a distracting object. A method according to some embodiments includes analyzing environment data to identify a distracting object that is viewable by a driver, wherein the environment data is generated by a sensor set of a first vehicle and the environment data describes an environment including the first vehicle. The method includes determining a risk value of concealing the distracting object from the driver. The method includes responsive to the risk value failing to meet a threshold value, overlaying a concealing graphic on the distracting object while the first vehicle is being operated.

A system and methodologies for controlling the content of a heads up display to provide increased visibility of naturally occurring contours and surfaces in the environment is provided. Depth information is provided along with predefined lighting conditions in order to output an image by the HUD with enhanced feature contours.

Disclosed is a head-up display (HUD) device for providing three-dimensional (3D) augmented reality (AR). The HUD display includes a display disposed in an upper region of a windshield of a vehicle, the display configured to output a light corresponding to a panel image in a direction of a dashboard region in a vicinity of a lower portion of the windshield, and an optical element disposed in the dashboard region, the optical element configured to reflect the light corresponding to the panel image in a direction of an intermediate region of the windshield.

A vehicle display system, which is provided in a vehicle, includes a first display device configured to emit a light pattern toward a road surface outside the vehicle; and a second display device located inside the vehicle and configured to display predetermined information toward an occupant of the vehicle such that the predetermined information is superimposed on a real space outside the vehicle.

A display system includes an imaging section, a display section, a selection section, an operation section, and a display control section. The imaging section is configured to image toward a rear and a side of a vehicle. The display section is configured to display an image captured by the imaging section. The selection section is configured to allow selection of a standard mode or a wide-angle mode. The operation section is configured to enable operation of one out of forward driving or reverse driving of the vehicle. The display control section includes RAM, and switches to whichever mode has been set out of the standard mode or the wide-angle mode immediately prior to the vehicle being driven in reverse in cases in which an operation to switch from reverse driving to forward driving of the vehicle has been performed using the operation section while in a reverse driving mode.

A method for detecting a relevant region in the surroundings of an ego vehicle, in which a situation exists which is relevant to the driving and/or safety of the ego vehicle, from measurement data of a sensor which observes at least a portion of the surroundings, the measurement data being discretized into pixels or voxels and/or are suitably represented in some other way, the existence of the relevant situation being dependent on the presence of at least one characteristic object in the surroundings, and the resolution of the pixels, voxels and/or the other representation being insufficient for directly detecting the characteristic object, the measurement data being analyzed for the presence of a grouping of objects which contains the characteristic object, the resolution of the pixels, voxels and/or the other representation being sufficient for detecting the grouping. A region in which the grouping is detected is classified as a relevant region.