In general, techniques are described by which a computing system dynamically and automatically adjusts an orientation of one or more mirrors of a vehicle. A computing system includes at least one processor and memory. The memory includes instructions that, when executed, cause the at least one processor to determine a current orientation of a mirror of a vehicle and determine a preferred orientation of the mirror based upon a set of data points. Execution of the instructions also causes the at least one processor to output a command to adjust the mirror to the preferred orientation in response to determining the current orientation is not the preferred orientation.

There is provided a work machine including a traveling body, a rotating platform mounted on the traveling body, an attachment mounted on the rotating platform, and including a work element, an imaging unit mounted on the rotating platform, and configured to capture a peripheral image, and an imaging controller configured to cause the imaging unit to capture the image, when an imaging range of the imaging unit includes a predetermined subject region designated in advance.

In an autonomous driving vehicle information presentation apparatus, based on outside information, an identification unit searches for a person present around a host vehicle and identifies whether the person extracted by the search matches a user of the host vehicle. When a result of the identification by the identification unit indicates that the person extracted by the search matches the user of the host vehicle, the information presentation unit presents information by using a preset presenting state to a specific person, as a presentation target, identified to match the user of the host vehicle by the identification unit with an exterior display apparatus provided at a front portion of the host vehicle.

A method or system is capable of detecting operator behavior (“OB”) utilizing a virtuous cycle containing sensors, machine learning center (“MLC”), and cloud based network (“CBN”). In one aspect, the process monitors operator body language captured by interior sensors and captures surrounding information observed by exterior sensors onboard a vehicle as the vehicle is in motion. After selectively recording the captured data in accordance with an OB model generated by MLC, an abnormal OB (“AOB”) is detected in accordance with vehicular status signals received by the OB model. Upon rewinding recorded operator body language and the surrounding information leading up to detection of AOB, labeled data associated with AOB is generated. The labeled data is subsequently uploaded to CBN for facilitating OB model training at MLC via a virtuous cycle.

A vehicular vision system includes a plurality of cameras and an ECU. The cameras are in communication with one another via a vehicle network and image data captured by the cameras is provided to the ECU. Responsive to a type of driving maneuver of the vehicle, (i) the ECU generates a first control signal that enables automatic control of exposure, gain and white balance of one camera of the plurality of cameras and (ii) the ECU generates respective second control signals that disable automatic control of exposure, gain and white balance of at least one other camera of the plurality of cameras. Responsive to processing of captured image data, composite video images derived from image data captured by the plurality of cameras are synthesized, and composite images are displayed that provides bird's eye view video images derived from video image data captured by the cameras.

A system comprising a capture device and a database. The capture device may be configured to (i) capture video, (ii) perform video analysis to extract metadata corresponding to the captured video, (iii) store the captured video data and (iv) communicate with a wireless device. The database may be configured to (i) generate search results for a user based on the metadata and (ii) provide the user (a) the metadata and (b) the video based on the search results. The metadata may be used to determine license plates present in the video. The database may provide the capture device an interrupt request to preserve a portion of the video based on the search results. The capture device may flag the portion of the video to prevent overwriting the portion of the video in response to the interrupt request.

A vehicle-mounted display device in a moving object displays a video acquired by image capturing performed by an imaging unit on a display unit positioned toward an outer side of the moving object. The vehicle-mounted display device controls superimposed display of a measurement result or an analysis result, related to a subject included in the video displayed on the display unit, on the video.

An enhanced visibility system for a work machine includes an image capture device, a sensor, one or more control circuits, and a display. The image capture device is configured to obtain image data of an area surrounding the work machine. The sensor is configured to obtain data regarding physical properties of the area surrounding the work machine. The control circuits are configured to receive the image data and the data regarding the physical properties, and augment the image data with the data regarding the physical properties to generate augmented image data. The display is configured to display the augmented image data to provide an enhanced view of the area surrounding the work machine.

A display system of a work machine includes a storage that stores time-series work machine motion information including motion information of the work machine, a motion image generator that generates a motion image of the work machine based on the work machine motion information, and a display that shows the motion image.

A working vehicle is capable of autonomously traveling on a target traveling route and appropriately performing illumination during autonomous traveling to enable an operator to reliably confirm the presence of obstacles or the like on the target traveling route. The working vehicle includes a traveling body to autonomously travel on the target traveling route, illumination lamps located on the traveling body to respectively illuminate different directions, and a controller to change a control relating to a way of turning on the illumination lamps during the autonomously traveling.