A method for low visibility driving includes receiving image data from a visible-light camera. The image data includes an image of an area in front of a vehicle. The method includes receiving sensor data from an object-detecting sensor. The object-detecting sensor is configured to detect an object in front of the vehicle. The sensor data includes information about the object in front of the vehicle. The method further includes detecting the object in front of the vehicle using the sensor data received from the object-detecting sensor and determining whether the visible-light camera is unable to detect the object in front of the vehicle that was detected by the object-detecting sensor. The method further includes commanding a display to generate a virtual image using the sensor data to identify the object in front of the vehicle.

Apparatuses and methods of operating the same are described. An apparatus including a display, an input device, and a processing device coupled to the display and the input device. The processing device may send an output to the display. The output may include a graphical object associated with a first step of a user-implemented procedure. The processing device may receive an input from the input device. The input may indicate a progress on an execution of the first step by an operator. The processing device may determine whether the input indicates that the operator has completed the first step. The processing device may determine whether the first step is a final step in the user-implemented procedure. The processing device may identify a second step in the user-implemented procedure when the input indicates that the operator has completed the first step and the first step is not a final step.

In one implementation, a method includes: obtaining a representation for a volumetric region and obtaining SR content with a first set of dimensions; adapting the SR content by modifying one or more dimensions of the SR content from the first set of dimensions to a second set of dimensions based on one or more portions of the representation of the volumetric region; and causing presentation of the adapted SR content with the second set of dimensions via the display device.

Embodiments of the present disclosure provide a method, a computer program product, and a wearable device for controlling display of content. The method is performed in a wearable device (10) comprising a head mounted display having a display region (12). The method comprises causing (S12) to display a first visual content (32) on a first portion (14) of the display region, corresponding to an eye gaze direction (22) of the user (20). The method comprises determining (S13) to transmit a second visual content (34) to one or more external display devices (40a-40n) based on presence of the one or more external display devices (40a-40n) in a field of view, FoV, of the wearable device (10). Further, the method comprises sending (S14) a request to at least one of the one or more external display devices (40a-40n) to display the second visual content (34). The method further comprises causing (S15) to display the second visual content (34), at least outside the first portion (14) of the display region (12). The resolution of the first visual content (32) is higher than the resolution of the second visual content (34).

An image display method applied to AR glasses is disclosed. An inner frame of the AR glasses is provided with a first camera, and an outer frame of the AR glasses is provided with a second camera. The image display method comprises: detecting eye rotation information of a glasses wearer by using the first camera (S101); adjusting a shooting angle of the second camera according to the eye rotation information, and acquiring a target image collected by the second camera after adjusting the shooting angle (S102); judging whether there is a target object in the target image (S103); and if yes, displaying an image including position information of the target object via a lens of the AR glasses (S104). The object recognition accuracy of the AR glasses is improved.

A smart, human-centered technique that uses artificial intelligence and mixed reality to accelerate essential tasks of the inspectors such as defect measurement, condition assessment and data processing. For example, a bridge inspector can analyze some remote cracks located on a concrete pier, estimate their dimensional properties and perform condition assessment in real-time. The inspector can intervene in any step of the analysis/assessment and correct the operations of the artificial intelligence. Thereby, the inspector and the artificial intelligence will collaborate/communicate for improved visual inspection. This collective intelligence framework can be integrated in a mixed reality supported see-through headset or a hand-held device with the availability of sufficient hardware and sensors. Consequently, the methods reduce the inspection time and associated labor costs while ensuring reliable and objective infrastructure evaluation. Such methods offer contributions to infrastructure inspection, maintenance, management practice, and safety for the inspection personnel.

There are provided: a vehicle display device including a HUD device capable of ensuring safe traveling by suitably controlling a display region of an image to be displayed on the windshield of a vehicle; and a display method. A vehicle display device includes a HUD device that projects image light of an image, which is to be displayed, on a windshield WS of a vehicle such that a virtual image I* of the image is visually recognized by reflected light. The vehicle display device is operable to display a plurality of images having a priority order, and an image having a high priority order is displayed such that an image displayed in a specified region As of the windshield WS has a predetermined display rate (=an area of the image/an area of the specified region) or less. Warning images I2 and I31 to I34 are set in a priority order higher than that of the driving support images I11 to I13.

A system, includes a memory in communication with a processor, the memory storing instructions that when executed by the processor cause the processor to receive a first location of a real vehicle, receive an updated location of the real vehicle, compute, utilizing at least the first location and the updated location, a future location of the real vehicle at a predetermined time in the future and output data to a display device adapted to display to a user of the display device at the predetermined time a mixed reality representation of an environment surrounding the real vehicle as viewed from the future location.

A display controller (20) includes an information acquisition unit configured to obtain input data of attentional resources of an occupant of a mobile object such as traveling time, occupant status information, driving environment information or display image history and a display-image generation unit configured to generate, in a mode determined based on the input data, a display image to be displayed by a display device (10) provided for the mobile object. The mobile object is for instance a vehicle comprising a head-up display.

A smart, human-centered technique that uses artificial intelligence and mixed reality to accelerate essential tasks of the inspectors such as defect measurement, condition assessment and data processing. For example, a bridge inspector can analyze some remote cracks located on a concrete pier, estimate their dimensional properties and perform condition assessment in real-time. The inspector can intervene in any step of the analysis/assessment and correct the operations of the artificial intelligence. Thereby, the inspector and the artificial intelligence will collaborate/communicate for improved visual inspection. This collective intelligence framework can be integrated in a mixed reality supported see-through headset or a hand-held device with the availability of sufficient hardware and sensors. Consequently, the methods reduce the inspection time and associated labor costs while ensuring reliable and objective infrastructure evaluation. Such methods offer contributions to infrastructure inspection, maintenance, management practice, and safety for the inspection personnel.