A method for detecting a standstill of a vehicle includes detecting the standstill of the vehicle using at least one sensor, and, when the standstill is detected using the at least one sensor, carrying out a test routine for checking the standstill of the vehicle. The test routine uses at least one signal from at least one rate-of-rotation sensor as an input value. The method further includes rejecting the detected standstill of the vehicle when the at least one signal from the at least one rate-of-rotation sensor indicates that there is no standstill of the vehicle.

Provided are methods, systems, and computer program products for vehicle dynamics classification for collision and loss of control detection. Some methods described also include obtaining sensor data associated with dynamics of a vehicle, wherein the dynamics characterize motion of the vehicle and the vehicle is associated with a dynamics event classification. The methods include obtaining predicted dynamics, wherein the predicted dynamics are based on control signals and feedback on control signals from a previous time instance. Additionally, the methods include determining the dynamics event classification of the vehicle based on the dynamics and the predicted dynamics and controlling operation of the vehicle according to the dynamics event classification.

A speed sensor for measuring a speed of an object moving relative to the speed sensor, including: a speed sensor housing for providing sliding and/or frictional and/or positively locking insertion into a fixed receptacle, wherein the speed sensor housing houses an injection molded part which is made of plastic and into which at least part of a speed sensor element is injected; wherein the injection molded part has at least one outer recess, on its outer circumferential surface facing an inner face of a wall of the speed sensor housing, wherein an empty outer chamber is formed between each boundary surface of an outer recess and the inner face of the wall of the speed sensor housing, and/or wherein at least one inner recess, which forms an empty inner chamber, is formed inside the injection molded part. Also described are a related driver assistance system and a motor vehicle.

A system for assisting in aligning a vehicle for hitching with a trailer includes an imaging system, a vehicle control system including at least one vehicle sensor, and a controller. The controller controls the vehicle using the vehicle control system to move the vehicle into an aligned position, where a hitch ball on the vehicle is aligned with the coupler, including monitoring a signal from the vehicle sensor and tracking a position of the coupler relative to the hitch ball in image data. When the signal indicates an unintended stopped vehicle state, the controller determines a distance from the hitch ball to the coupler. If the distance is above a predetermined threshold, the controller controls the vehicle control system to cause the vehicle to move. If the distance is below the predetermined threshold, the controller indicates the unintended stopped vehicle state to a driver of the vehicle.

The present invention relates to a collision distance estimation device and a driver assistance system using the same. The collision distance estimation device includes an image acquisition unit configured to acquire images of surroundings of a vehicle to generate image information, an image reading unit configured to detect and identify an object present around the vehicle from the image information to generate object recognition information, a travel detection unit configured to generate movement distance information on the basis of wheel sensing information, steering information, and the image information, and a collision distance calculation unit configured to calculate collision distance information on the basis of the object recognition information and the movement distance information.

A yaw stability control system is provided for a motor vehicle. The system includes one or more cameras, a plurality of wheel speed sensors, a yaw angle sensor, and a steering angle sensor. The system further includes an electric motor connected to a reaction wheel. The system further includes a processor and a memory including instructions such that the processor is programmed to: determine a desired yaw angle of the motor vehicle based on a video signal, speed signals, a yaw signal, and a steering signal. The processor is further programmed to generate an actuation signal associated with the desired yaw angle. The electric motor angularly rotates the reaction wheel at a predetermined angular rate in a predetermined rotational direction to produce a counter-acting torque that rotates the motor vehicle to the desired yaw angle, in response to the electric motor receiving the actuation signal from the processor.

An apparatus for controlling backward driving of a vehicle including: a driving trajectory generation unit configured to generate a driving trajectory for backward driving of an ego vehicle on a target path, using sensing information acquired while the ego vehicle drives forward along the target path; and a control unit configured to control the backward driving of the ego vehicle on the target path according to the driving trajectory generated by the driving trajectory generation unit, correct the driving trajectory using driving information of another vehicle, which has driven backward on the target path before the ego vehicle, when a change on the target path is sensed in comparison to during the forward driving of the ego vehicle during the process of controlling the backward driving of the ego vehicle, and control the backward driving of the ego vehicle according to the corrected driving trajectory.

A method for determining a longitudinal tire stiffness (K.sub.x) for at least one wheel on a motor vehicle while the motor vehicle is in operation, may include generating a sinusoidal modulation of an axle drive torque or wheel drive torque necessary for maintaining the current vehicle speed (ν), or a braking torque or recuperation torque necessary for maintaining the current braking power in at least one wheel for a sinusoidal excitation of a wheel rotational rate (ω), such that a sinusoidal oscillation in the wheel rotational rate is induced. The method may also include detecting the resulting sinusoidal oscillation in the wheel rotational rate, determining the amplitude (ω.sub.amp) of the oscillation in the wheel rotational rate induced, and determining longitudinal tire stiffness (K.sub.x) from the amplitude (ω.sub.amp). A corresponding apparatus for carrying out the method may be included.

A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to: predict, at a trained machine learning classifier, a target slip value based on a predicted slip slope and a predicted road texture, wherein the predicted slip slope and the predicted road texture are determined using sensor data representing tire forces and modify at least one vehicle action based on the target slip value when a confidence level value corresponding to the target slip value is greater than or equal to a confidence level threshold.

The disclosure relates to assessing and responding to wheel slippage and estimating road friction for a road surface. For instance, a vehicle may be controlled in an autonomous driving mode in order to follow a trajectory. A wheel of the vehicle may be determined to be slipping such that the vehicle has limited steering control. In response to determining that the wheel is slipping, steering of one or more wheels may be controlled in order to orient the one or more wheels towards the trajectory in order to allow the vehicle to proceed towards the trajectory when the wheel is no longer slipping. In addition, the road friction may be estimated based on the determination that the wheel is slipping. The vehicle may be controlled in the autonomous driving mode based on the estimated road friction.