A system for determining agricultural vehicle guidance quality includes an imaging device configured to capture image data depicting a plurality of crops rows present within a field as an agricultural vehicle travels across the field. Additionally, the system includes a controller communicatively coupled to the imaging device. As such, the controller configured to determine a guidance line for guiding the agricultural vehicle relative to the plurality of crop rows based on the captured image data. Furthermore, the controller is configured to determine a crop row boundary consistency parameter associated with one or more crop rows of the plurality of crop row present within a region of interest of the captured image data. Moreover, the controller is configured to determine a quality metric for the guidance line based on the crop row boundary consistency parameter.

A traffic light detection device includes: an image capture unit capturing an image of surroundings; a traffic light location estimation unit estimating a location of a traffic light around the vehicle and setting a traffic light search area in which the traffic light is estimated to be present; a traffic light detection unit detecting the traffic light by searching the traffic light search area on the image; and an obstruction estimation unit. When the obstruction estimation unit estimates that a continuous obstruction state where a view of the traffic light is continuously obstructed occurs in the traffic light search area, the traffic light location estimation unit selects the traffic light search area based on the continuous obstruction state.

A driving support Electronic Control Unit (ECU) initializes a target trajectory calculation parameter at a start of Lane Change Assist Control (LCA), calculates, based on the target trajectory calculation parameter, a target trajectory function representing a target lateral position in accordance with an elapsed time from the start of LCA; and calculates a target control amount according to the target trajectory function. When it is determined that the own vehicle has crossed a boundary white line, the driving support ECU again initializes the target trajectory calculation parameter, and calculate the target trajectory function based on the target trajectory calculation parameter.

A system comprises a first control module that meets specified operational criteria for controlling a component of a vehicle and a second control module that meets specified operational criteria for actuating the component. The first control module is arranged to send a first signal to open a relay that, when closed, electrically couples a power output of the second control module to ground via a fuse, send a second signal to cause the second control module to power a motor for actuating the component, receive a third signal indicating a completion of actuation of the component, and responsive to receiving the third signal, send a fourth signal to close the relay.

A mobile body includes axial gap motors, a multiplexing mechanism, an abnormality detection mechanism, and a blocking mechanism. The axial gap motors generate driving power to be supplied to at least one wheel. The multiplexing mechanism multiplexes the axial gap motors and couples the axial gap motors to the at least one wheel of the mobile body. The abnormality detection mechanism detects an abnormality in the axial gap motors. In a case where the abnormality is detected in a certain axial gap motor of the multiplexed axial gap motors, the blocking mechanism blocks supplying of driving power from the certain axial gap motor independently of the multiplexed axial gap motors other than the certain axial gap motor, and maintains supplying of driving power to the at least one wheel from the multiplexed axial gap motors other than the certain axial gap motor.

One embodiment of the present invention predicts a vehicular event relating to machinal performance using information obtained from interior and exterior sensors, vehicle onboard computer (“VOC”), and cloud data. The process of predication is able to activate interior and exterior sensors mounted on a vehicle operated by a driver for obtaining current data relating to external surroundings, interior settings, and internal mechanical conditions of the vehicle. After forwarding the current data to VOC to generate a current vehicle status representing real-time vehicle performance in accordance with the current data, retrieving a historical data associated with the vehicle including mechanical condition is retrieved. In one aspect, a normal condition signal is issued when the current vehicle status does not satisfy with the optimal condition based on the historical data. Alternatively, a race car condition is issued when the current vehicle status meets with the optimal condition.

A method for determining a distance between a camera positioned on a rear portion of a tow vehicle and a trailer coupler supported by a trailer positioned behind the tow vehicle as the tow vehicle approaches the trailer. The method includes identifying the trailer coupler of the trailer within one or more images of a rearward environment of the tow vehicle. The method also includes receiving sensor data from an inertial measurement unit supported by the tow vehicle. The method includes determining a pixel-wise intensity difference between a current received image from the one or more images and a previously received image from the one or more images. The method includes determining the distance based on the identified trailer coupler, the sensor data, and the pixel-wise intensity difference, the distance includes a longitudinal distance, a lateral distance, and a vertical distance.

A driving support ECU initializes a target trajectory calculation parameter at a start of LCA; calculates, based on the target trajectory calculation parameter, a target trajectory function representing a target lateral position which is a target position of an own vehicle in a lane width direction in accordance with an elapsed time from the start of LCA; calculates a target control amount based on the target trajectory function; when a steering operation by a driver has been detected, again initializes the target trajectory calculation parameter; and recalculates the target trajectory function based on the target trajectory calculation parameter.

A three-dimensional display device includes a display panel, a parallax barrier, an acquisition section, a memory, and a controller. The display panel is configured to display a parallax image and emit image light corresponding to the parallax image. The parallax barrier includes a surface configured to define a direction of image light. The acquisition section is configured to acquire positional data indicating eye positions from a detection device which is configured to detect eye positions based on photographed images which are acquired from a camera which is configured to image user's eyes. The memory is configured to store the positional data which are acquired by the acquisition section. The controller is configured to output predicted eye positions based on the positional data stored in the memory, and cause the display panel to display the parallax image, based on the predicted eye positions. The controller is configured to generate a left-eye image and a right-eye image based on a first predicted eye position, and combine the left-eye image and the right-eye image into a parallax image based on a second predicted eye position, which is different from the first predicted eye position.

Exemplary embodiments of a system and method for cargo height observation are disclosed. Certain embodiments are configured such that a user, such as a tractor operator, may verify that an overall height of the car hauler, as may be dictated by the height positions of one or more vehicles positioned on ramps associated with an upper deck of the car hauler, is below a predetermined allowable height for the car hauler when being transported over public or private roadways.