A steering control device that can more appropriately transmit a road-surface reaction force to a steering wheel is provided. The steering control device feedback controls a steering angle to a target steering angle that is a target value of the steering angle. The steering control device includes an estimated axial force computation circuit that computes an estimated axial force so as to reflect a road-surface reaction force in a reaction force generated by a reaction force actuator. The estimated axial force computation circuit computes the estimated axial force by causing a friction compensation amount computation circuit and an efficiency compensation gain computation circuit to compensate an initial estimated axial force computed by an initial estimated axial force computation circuit.

Among other things, techniques are described for steering angle calibration. An autonomous vehicle receives a steering angle measurement and a yaw rate measurement, and estimates a steering angle offset using the steering angle measurement, the yaw rate measurement, and a wheel base of the autonomous vehicle. An estimated yaw rate is determined based on a yaw rate model, the steering angle measurement and the estimated steering angle offset. The yaw rate measurement and the estimated yaw rate are compared and an action is initiated on the autonomous vehicle in response to the comparing.

A driving assist system includes: a first detection unit configured to detect first rotational information that is information about rotation of a left wheel of a vehicle; a second detection unit configured to detect second rotational information that is information about rotation of a right wheel of the vehicle; and a processing unit configured to estimate a running turning radius of a running turning circle on a running route on which the vehicle drives from the first rotational information and the second rotational information.

An exemplary method for modeling steering characteristics of a vehicle includes receiving first sensor data corresponding to a steering wheel angle, receiving second sensor data corresponding to image data of an external environment of the vehicle, generating a vehicle movement model from the first and second sensor data, determining a lateral vehicle velocity and a longitudinal vehicle velocity along a vehicle path of travel, defining a road wheel angle based at least in part on the lateral and longitudinal velocities of the vehicle, and determining a road wheel to steering wheel angle ratio using a plurality of polynomial curves to approximate the road wheel to steering wheel angle ratio.

An apparatus for controlling driving of a vehicle, a system having the same, and a method thereof. The apparatus for controlling the driving of a vehicle includes a processor determining whether a lane change is necessary based on a rear situation of a reference vehicle when the lane change is necessary, determining whether the lane change is possible based on left-side and right-side rear situations of the reference vehicle, and performing lane change control depending on the determination result and a storage storing a result of the monitoring of the rear situation and the left-side and the right-side rear situations of the reference vehicle.

A method for characterizing a trailer attached to a towing vehicle having a kinematic model describing the trailer, a driver assistance system, and a vehicle/trailer combination are disclosed. The method includes: receiving lidar sensor data of a lidar sensor device of the towing vehicle from an environmental region of the towing vehicle and the attached trailer and identifying detection points corresponding to reflection points in the environmental region in the lidar sensor data; determining at least one model sub-region at least partially overlapping with the kinematic model; classifying the detection points lying within the model sub-region as detection points corresponding with the trailer; determining at least one feature of the trailer based on detection points corresponding with the trailer; comparing the at least one feature with the kinematic model; and updating the kinematic model based on the comparison of the at least one feature with the kinematic model.

An optical sensor system for determining trajectory of a car, the optical sensor system being mounted in a wheel arch of the car, includes: a plurality of optical sensors mounted in the wheel arch above a wheel, the optical sensors being located behind a plurality of clear casings that do not touch the wheel, for performing a plurality of counts corresponding to respectively capturing a plurality of images of the wheel according to an outer surface of the wheel evenly covered with wheel treads. The captured images are compared with a reference image to determine a 2D displacement of the wheel from its original position. This measured 2D displacement is converted into a distance the wheel travels along a path, and the wheel trajectory is determined by calculating a turning degree of the wheel according to a trigonometric manipulation of the captured 2D displacement.

A driving support ECU is configured to, when a specific recognition state occurs where a lane marker recognized changes from a left lane marker to a right lane marker or vice versa under a one side lane marker recognizable state, set a steering angle guard value to a second steering angle guard value smaller than a first steering angle guard value and set a steering angle speed guard value to a second steering angle speed guard value smaller than a first steering angle speed guard value.

A computer includes a processor and a memory storing instructions executable by the processor to determine a learned clear vision offset based on a currently calculated clear vision offset and a previously stored clear vision offset, and steer a steer-by-wire system of a vehicle while correcting a steering angle by a lesser value of the learned clear vision offset and a maximum correctable offset.

An agricultural machine has a set of front wheels and a set of rear wheels that are independently steerable relative to one another. Distance sensors are mounted to the agricultural vehicle to sense a distance between the front wheels, and the adjacent row crops, and between the rear wheels, and the adjacent row crops. Automatic steering control signals are generated to automatically steer the front wheels, and rear wheels, based upon the sensed distances.