Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method for navigating a user vehicle may include acquiring, using at least one image capture device, a plurality of images of an area in a vicinity of the user vehicle; determining from the plurality of images a first lane constraint on a first side of the user vehicle and a second lane constraint on a second side of the user vehicle opposite to the first side of the user vehicle; enabling the user vehicle to pass a target vehicle if the target vehicle is determined to be in a lane different from the lane in which the user vehicle is traveling; and causing the user vehicle to abort the pass before completion of the pass, if the target vehicle is determined to be entering the lane in which the user vehicle is traveling.

A harvester includes: a crop tank that stores a crop harvested by a harvesting device; a weight detection unit that detects a storage weight, which is a value indicating the weight of the crop stored in the crop tank; a maximum weight calculation unit that calculates a maximum weight, which is a value indicating the weight of the crop at the maximum storage amount of the crop tank; a unit harvest weight calculation unit calculates a unit harvest weight that indicates the weight of the crop harvested per unit of harvest-travel distance; and a maximum travel distance calculation unit that calculates a maximum travel distance, which is the maximum distance that can be traveled during traveling harvesting before the amount of the crop stored in the crop tank reaches the maximum storage amount, based on the storage weight, the maximum weight, and the unit harvest weight.

A harvester includes: a crop tank that stores a crop harvested by a harvesting device; a weight detection unit that detects a storage weight, which is a value indicating the weight of the crop stored in the crop tank; a maximum weight calculation unit that calculates a maximum weight, which is a value indicating the weight of the crop at the maximum storage amount of the crop tank; a unit harvest weight calculation unit calculates a unit harvest weight that indicates the weight of the crop harvested per unit of harvest-travel distance; and a maximum travel distance calculation unit that calculates a maximum travel distance, which is the maximum distance that can be traveled during traveling harvesting before the amount of the crop stored in the crop tank reaches the maximum storage amount, based on the storage weight, the maximum weight, and the unit harvest weight.

A method for operating an industrial truck having three wheels. During longitudinal travel, two steerable wheels run in succession in a first lane, and a third wheel runs in a second lane. The third wheel initially runs on an inside during a turning in while cornering until the industrial truck, during a further turning in, transitions into a revolving motion. The method includes reducing a drive power as of a specific steering angle during the turning in prior to the revolving motion, and disengaging or reversing a direction of a drive rotation of the third wheel after a delay time which begins with the reducing of the drive power, or, continuously reducing the drive power from the specific steering angle during the further turning in, and disengaging or reversing the direction of rotation of the third wheel when transitioning into the revolving motion.

Systems and methods for automated control of vehicle lane change maneuvers are disclosed. Some implementations may include detecting, based on data from a sensor in the first vehicle, one or more other vehicles that are moving in a target lane of the road. Some implementations may include determining, based on the kinematic state of the vehicle and a prediction of motion of the one or more other vehicles in the target lane, estimates of headway in relation to at least one of the one or more other vehicles in the target lane. Some implementations may include determining, based at least in part on the estimates of headway, overtake decisions for the one or more other vehicles traveling in the target lane. Some implementations may include determining a motion plan that will transition the first vehicle from the current lane to the target lane based the overtake decisions.

An avoidance modifier system may be configured to modify operation of a collision avoidance system associated with a machine. The avoidance modifier system may include at least one inclination sensor and a modifier system controller configured to be in communication with the collision avoidance system. The modifier system controller may be configured to receive an inclination signal from the inclination sensor and determine an inclination angle at which the machine is operating relative to level operation. The modifier system controller may be configured to determine an adjusted ground plane angle indicative of a virtual ground plane on which the machine is operating, and communicate with the collision avoidance system, such that the collision avoidance system does not activate a braking device of the machine in response to an object sensor generating an object signal indicative of detection of an object between an actual ground plane and the virtual ground plane.

The present invention generally relates to automatic transmission controllers and related methods. In one case, the present invention provides a method of calibrating a controller to match an automatic transmission to an electric motor or internal combustion engine. The controller is not integrated into the transmission. The method comprises adjusting parameters of the controller and includes the steps of: a) Defining the Control Architecture; b) using the Defined Control Architecture to Identify Control Loop Input/Output; c) using the Identified Control Input/Output to Define the Control Algorithm Controller; d) using the Control Algorithm Controller definition to either Define the Shift Schedule or Define the Solenoid Handler, either of which can be used in Optimizing Calibration Via Testing.

The present invention generally relates to automatic transmission controllers and related methods. In one case, the present invention provides a method of calibrating a controller to match an automatic transmission to an electric motor or internal combustion engine. The controller is not integrated into the transmission. The method comprises adjusting parameters of the controller and includes the steps of: a) Defining the Control Architecture; b) using the Defined Control Architecture to Identify Control Loop Input/Output; c) using the Identified Control Input/Output to Define the Control Algorithm Controller; d) using the Control Algorithm Controller definition to either Define the Shift Schedule or Define the Solenoid Handler, either of which can be used in Optimizing Calibration Via Testing.

A vehicular vision system includes a side-viewing camera mounted within an exterior rearview mirror assembly attached at a side of a vehicle equipped with the vehicular vision system. The side-viewing camera has a field of view at least sideward of the side of the equipped vehicle at which the exterior rearview mirror assembly is attached. The side-viewing camera captures an image of a scene occurring exterior of the equipped vehicle. The captured image includes an image data set representative of the exterior scene. A control includes an image processor, and the image data set is provided to the control. The control processes a reduced image data set of the image data set provided to the control to detect edges present exterior of the equipped vehicle within an area of interest of the scene occurring exterior of the equipped vehicle that is within the field of view of the side-viewing camera.

A vehicular vision system includes a side-viewing camera mounted within an exterior rearview mirror assembly attached at a side of a vehicle equipped with the vehicular vision system. The side-viewing camera has a field of view at least sideward of the side of the equipped vehicle at which the exterior rearview mirror assembly is attached. The side-viewing camera captures an image of a scene occurring exterior of the equipped vehicle. The captured image includes an image data set representative of the exterior scene. A control includes an image processor, and the image data set is provided to the control. The control processes a reduced image data set of the image data set provided to the control to detect edges present exterior of the equipped vehicle within an area of interest of the scene occurring exterior of the equipped vehicle that is within the field of view of the side-viewing camera.