Abstract: A system of controlling a vehicle may include a sensor and a controller, in which the sensor may be configured to sense vehicle operation state information, and the controller may be configured to determine whether a vehicle is running on a dangerous road based on the sensed vehicle operation state information, determine whether there is a possibility that a vehicle driving state will cause a failure of a driving system based on the sensed vehicle operation state information in response to determining that the vehicle is running on the dangerous road, and decide that torque control of the vehicle.

Abstract: Systems, methods and computer-readable media are provided for controlling a variable-rate sprayer for precision agriculture. Highly efficient digital image processing enables rapid and reliable control of the variable rate sprayer. In one embodiment, image processing uses only a subset of luminance, hue, saturation and intensity textural features to provide rapid image recognition. In another embodiment, an image is decomposed into RGB components and a G is ratio determined. For example, the textural method is useful in growing season where color differentiation is difficult. The G ratio method is useful in early spring and late fall where color differentiation is possible. These rapid computationally light methods enable a mobile sprayer system to identify crop or field conditions in real-time and to dispense an appropriate amount of agrochemical in a specific section of the sprayer boom where the target has been detected as the mobile sprayer advances.

Abstract: Systems, methods and computer-readable media are provided for controlling a variable-rate sprayer for precision agriculture. Highly efficient digital image processing enables rapid and reliable control of the variable rate sprayer. In one embodiment, image processing uses only a subset of luminance, hue, saturation and intensity textural features to provide rapid image recognition. In another embodiment, an image is decomposed into RGB components and a G is ratio determined. For example, the textural method is useful in growing season where colour differentiation is difficult. The G ratio method is useful in early spring and late fall where colour differentiation is possible. These rapid computationally light methods enable a mobile sprayer system to identify crop or field conditions in real-time and to dispense an appropriate amount of agrochemical in a specific section of the sprayer boom where the target has been detected as the mobile sprayer advances.