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 vehicular trailer guidance system includes an electronic control unit (ECU) and a rear backup camera disposed at a vehicle. A human machine interface (HMI) is operable in (i) a trailer left-backup mode, (i) a trailer straight-backup mode and (iii) a trailer right-backup mode. Responsive to selection by the driver of the trailer left-backup mode or trailer right-backup mode, the ECU sets a desired trailer angle of the trailer tongue leftward or rightward to an angle that is commensurate with a driver-selected setting of an input device. Responsive to selection by the driver of the trailer straight-backup mode, the ECU sets the desired trailer angle to a zero degree angle. The ECU, while the vehicle is backing up the trailer, controls the power steering system of the vehicle to steer the vehicle to back up the trailer to have the determined trailer angle coincide with the set desired trailer angle.

A vehicular vision system includes a camera, a distance sensor and a controller having at least one processor. Image data captured by the camera and sensor data captured by the distance sensor are processed at the controller. The controller, responsive to processing of captured image data and of captured sensor data, detects an object. The controller determines the distance to the detected object based at least in part on difference between the positions of the detected object in captured image data and in captured sensor data. The controller, responsive to processing of captured image data and of captured sensor data, and responsive to the determined distance to the detected object, determines that the detected object represents a collision risk. The controller alerts a driver of the vehicle of the collision risk and/or controls the vehicle to mitigate the collision risk.

A vehicular vision system includes a camera, a distance sensor and a controller having at least one processor. Image data captured by the camera and sensor data captured by the distance sensor are processed at the controller. The controller, responsive to processing of captured image data and of captured sensor data, detects an object. The controller determines the distance to the detected object based at least in part on difference between the positions of the detected object in captured image data and in captured sensor data. The controller, responsive to processing of captured image data and of captured sensor data, and responsive to the determined distance to the detected object, determines that the detected object represents a collision risk. The controller alerts a driver of the vehicle of the collision risk and/or controls the vehicle to mitigate the collision risk.

Methods and systems are disclosed for cross-validating a second sensor with a first sensor. Cross-validating the second sensor may include obtaining sensor readings from the first sensor and comparing the sensor readings from the first sensor with sensor readings obtained from the second sensor. In particular, the comparison of the sensor readings may include comparing state information about a vehicle detected by the first sensor and the second sensor. In addition, comparing the sensor readings may include obtaining a first image from the first sensor, obtaining a second image from the second sensor, and then comparing various characteristics of the images. One characteristic that may be compared are object labels applied to the vehicle detected by the first and second sensor. The first and second sensors may be different types of sensors.

Methods and systems are disclosed for cross-validating a second sensor with a first sensor. Cross-validating the second sensor may include obtaining sensor readings from the first sensor and comparing the sensor readings from the first sensor with sensor readings obtained from the second sensor. In particular, the comparison of the sensor readings may include comparing state information about a vehicle detected by the first sensor and the second sensor. In addition, comparing the sensor readings may include obtaining a first image from the first sensor, obtaining a second image from the second sensor, and then comparing various characteristics of the images. One characteristic that may be compared are object labels applied to the vehicle detected by the first and second sensor. The first and second sensors may be different types of sensors.

A method of determining the configuration of a tow load (12) coupleable to a vehicle (10), the method comprising: controlling (116) a vehicle system to obtain an indication of the presence of a unique identifier (40) mounted on the tow load (12); retrieving data (120) encoded within the unique identifier to determine the configuration of the tow load; configuring (124) the vehicle in dependence on the determined configuration of the tow load.

A shovel includes a lower traveling body, an upper turning body turnably mounted on the lower traveling body, a cab mounted on the upper turning body, a display device provided in the cab and configured to display a setting screen associated with work assistance, an audio input device provided in the cab, and a hardware processor configured to perform audio recognition. The hardware processor is configured to recognize speech input through the audio input device and executes a process related to the setting screen according to a recognition result.

Embodiments describe a method for positioning a hinged vehicle including a primary part and a secondary part coupled to the primary part at a project site. The method includes receiving, from an image capturing device, digital image data representing one or more features of the secondary part; performing image analysis on the digital image data to identify positions of the one or more features of the secondary part; identifying an angle of at least a portion of the secondary part; calculating a current position of the secondary part based on the angle; calculating a positional difference between a correct position at the project site for the secondary part and a current position of the secondary part at the project site; and initiating a change in a position of the primary part to compensate for the positional difference and to position the secondary part on the correct position.

Embodiments describe a method for positioning a hinged vehicle including a primary part and a secondary part coupled to the primary part at a project site. The method includes receiving, from an image capturing device, digital image data representing one or more features of the secondary part; performing image analysis on the digital image data to identify positions of the one or more features of the secondary part; identifying an angle of at least a portion of the secondary part; calculating a current position of the secondary part based on the angle; calculating a positional difference between a correct position at the project site for the secondary part and a current position of the secondary part at the project site; and initiating a change in a position of the primary part to compensate for the positional difference and to position the secondary part on the correct position.