A vehicle behavior control device for controlling a vehicle equipped with a steering apparatus comprises: a PCM operable to acquire a steering speed in the steering apparatus, and, when the steering speed becomes equal to or greater than a given threshold (T.sub.S1) which is greater than 0, to reduce a driving force for the vehicle according to the steering speed, wherein the steering apparatus comprises a steering shaft coupled to the steering wheel and rotatable together with the steering wheel, wherein the steering shaft has a torsion bar whose torsional rigidity about a rotational axis of the steering shaft is less than a remaining portion of the steering shaft. The steering speed acquisition section is configured to acquire the steering speed of the steering apparatus at a position on the side of the front road wheels with respect to the low rigidity portion.

A driver assistance system for motor vehicles, including at least one sensor for detecting object properties of objects which are located in the surroundings of the motor vehicle; a first interface; an output unit for transmitting the object properties to a user; and a control unit. The sensor transmits the object properties in a form of a first signal to the first interface. The first interface transmits the object properties, received in the form of the first signal, to the control unit in the form of a second signal, the control unit being configured to forward the object properties, received in the form of a second signal, to the output unit and to control the output of the object properties by the output unit.

Provided are methods for correcting multi-zone motion blur, which include executing, using at least one processor, an alignment of at least one image capturing device with at least one collimating device in a plurality of collimating devices, causing a rotation of at least one collimating device, receiving at least one image of at least one target object captured by the image capturing device for processing by at least one rotating collimating device, and determining, based on the at least one processed image, a degradation of the received image of the target object.

An agricultural machine includes a vehicle body, an obstacle detector to detect obstacles, an autonomous travel controller to perform autonomous travel of the vehicle body, the autonomous travel controller being configured or programmed to, when performing the autonomous travel, stop the vehicle body based on detection information about an obstacle detected by the obstacle detector, and a mode switch to switch a mode during the autonomous travel in an agricultural field between an effective mode in which the stopping of the vehicle body based on the detection information is allowed and an ineffective mode in which the stopping of the vehicle body based on the detection information is not allowed.

Redundant vehicle controls based on user presence and position are disclosed herein. A method can include determining a presence and a position of a driver in a sensing zone of a vehicle using a sensor platform integrated into the vehicle. The sensing zone is associated with a primary driving interface of the vehicle. Determining when the position of the driver indicates that the driver is not in a fully-seated position relative to a driver's seat of the vehicle, and that the vehicle is in a non-seated drive mode where the driver is permitted to operate the vehicle while not being in the fully-seated position. Activating a secondary driving interface of the vehicle when the driver is not in a fully-seated position and the vehicle is in the selected driving mode. The secondary driving interface can be used in combination with the primary driving interface.

A slope estimation device estimates a slope of a vehicle traveling road, and includes an input section that acquires a detected value of an acceleration sensor for detecting acceleration in a front-back direction of the vehicle, a centripetal force detecting section that detects centripetal force acting on the acceleration sensor due to a turning motion of the vehicle, and a slope computing section that computes the slope of the vehicle traveling road based on the detected value of the acceleration sensor. When the vehicle is in the turning motion, the slope computing section computes the slope of the traveling road by determining a component of the centripetal force superimposed on the detected value of the acceleration sensor based on a turning center position of the vehicle, a gravity center position of the vehicle, and an installation position of acceleration sensor, and subtracting the component of the centripetal force from the detected value of the acceleration sensor.

A method of processing the psychophysical state of a driver to improve the driving experience of road vehicle driven by a driver and comprising the steps of: cyclically detecting one or more objective vital parameters of the driver by means of one or more first sensors installed within a vehicular system; processing the value of a vital state index according to said one or more objective vital parameters detected; cyclically detecting one or more subjective parameters of the driver by means of one or more second sensors installed within the vehicular system; processing, starting from the objective vital parameters and according to the subjective parameters, the psychophysical state of the driver.

An approach to arrange sensors needed for automated driving, especially where semitrailer trucks are operating in an autonomous convoy with one automated or semi-automated truck following another. The sensors are fitted to a location adjacent to or within the exterior rearview mirrors, on each of the left- and right-hand side of the tractor. The sensors provide overlapping fields of view looking forward of the vehicle and to both the left and right hand sides at the same time.

It is advantageous for a vehicle to detect road wetness or related environmental conditions. This is particularly true for self-driving vehicles, which can then adjust the manner of automated operation of the vehicle to increase safety by reducing speed, braking earlier, adjusting internal estimates of road traction parameters, or adjusting autonomous operation in some other manner. It is difficult to directly measure road wetness (e.g., using spectroscopy or other methods directed at the road surface), however, it is possible to indirectly estimate road wetness based on road noise audio signals detected via one or more microphones disposed on the vehicle. The location of the microphones, the type of post-processing applied to the audio signals, or other factors can be adapted to increase the useful road wetness-related content of such audio signals while reducing the presence of engine noise, road noise, or other confounding signals.

A vehicle compelling force detection apparatus includes one or more processors configured to: obtain, from a first sensor, a road surface disturbance force received from a road surface on which the vehicle drives via a wheel of the vehicle, and store the road surface disturbance force in one or more memories, the first sensor being disposed below a damper supporting the wheel in a direction of gravity; obtain, from a second sensor, a body disturbance force applied to the vehicle, and store the body disturbance force in the one or more memories, the second sensor being disposed above the damper in the direction of gravity; and detect the compelling force due to the wind disturbance to which the vehicle is subjected, based on the body disturbance force applied to the vehicle and the road surface disturbance force, which are stored in the one or more memories.