A method for determining a distance between a camera positioned on a rear portion of a tow vehicle and a trailer coupler supported by a trailer positioned behind the tow vehicle as the tow vehicle approaches the trailer. The method includes identifying the trailer coupler of the trailer within one or more images of a rearward environment of the tow vehicle. The method also includes receiving sensor data from an inertial measurement unit supported by the tow vehicle. The method includes determining a pixel-wise intensity difference between a current received image from the one or more images and a previously received image from the one or more images. The method includes determining the distance based on the identified trailer coupler, the sensor data, and the pixel-wise intensity difference, the distance includes a longitudinal distance, a lateral distance, and a vertical distance.

A safety system for a vehicle may include one or more processors configured to determine, based on a friction prediction model, one or more predictive friction coefficients between the ground and one or more tires of the ground vehicle using first ground condition data and second ground condition data. The first ground condition data represent conditions of the ground at or near the position of the ground vehicle, and the second ground condition data represent conditions of the ground in front of the ground vehicle with respect to a driving direction of the ground vehicle. The one or more processors are further configured to determine driving conditions of the ground vehicle using the determined one or more predictive friction coefficients.

The present disclosure relates to a method and system for integrated path planning and path tracking control of an autonomous vehicle. The method includes: obtaining five input control variables and eleven system state variables of an autonomous vehicle at current time; constructing a vehicle path planning-tracking integrated state model according to the obtained variables at the current time; enveloping external contours of two autonomous vehicles using elliptical envelope curves to determine elliptical vehicle envelope curves of the two autonomous vehicles, respectively; determining time to collision (TTC) between the vehicles according to elliptical vehicle envelope curves and vehicle driving states; establishing an objective function of a model prediction controller (MPC) according to the model; and solving the objective function based on the TTC, and determining input control variables to the MPC at the next time. Autonomous vehicle collision avoidance can be achieved according to the present disclosure.

An integrated chassis control system includes a first sensor configured to sense a first vehicle driving in a lane adjacent to a lane in which an own vehicle is driving and to sense behavior information of the first vehicle, a second sensor configured to sense a variation in behavior of the own vehicle, a first determinator configured to determine a degree of influence of a side wind, which is predicted to occur due to the first vehicle, based on the behavior information of the first vehicle, a second determinator configured to determine a variance in abnormal behavior of the own vehicle based on information sensed by the second sensor, a first controller configured to perform a semi-active chassis system control, and a second controller configured to perform an active chassis system control.

A vehicle control system includes a controller circuit in communication with a steering sensor and one or more perception sensors. The steering sensor is configured to detect a steering torque of a steering wheel of a host vehicle. The one or more perception sensors are configured to detect an environment proximate the host vehicle. The controller circuit is configured to determine when an operator of the host vehicle requests a take-over from fully automated control of the host vehicle based on the steering sensor. The controller circuit classifies the take-over request based on the steering sensor.

A method for operating a vehicle hazardous parking warning system for warning a user of a first vehicle about hazardous parking of the first vehicle. The method includes detecting that the first vehicle enters a parking state at a parking position along the roadside; determining whether the parking position of the first vehicle is hazardous in terms of risk that the parked first vehicle being hit by a second, rear-coming, vehicle by retrieving stored forwards visibility information that was registered by a forwards directed sensor unit of the first vehicle while travelling of the first vehicle before entering the parking state; calculating a level of a risk parameter reflecting a risk for the parked first vehicle being hit by the second vehicle, based on the forwards visibility information; and determining that the parking position is a hazardous parking position when the risk parameter exceeds a threshold value.

The present application relates to the technical field of vehicle controlling technology, and provides a method and a device for gradient calculating. The method for gradient calculating includes: acquiring current operating parameters of the vehicle, wherein the current operating parameters include a current longitudinal acceleration, a current lateral acceleration, a current vehicle acceleration, and a current vehicle speed; determining a first influence value of the current lateral acceleration on the current longitudinal acceleration according to the current lateral acceleration and the current vehicle speed; determining a second influence value of the current vehicle acceleration on the current longitudinal acceleration according to the current vehicle acceleration and the current vehicle speed; correcting the current longitudinal acceleration according to the first influence value and the second influence value; and determining the gradient value based on the corrected current longitudinal acceleration.

This disclosure relates to a system and method for detecting vehicle events. Some or all of the system may be installed in a vehicle, operate at the vehicle, and/or be otherwise coupled with a vehicle. The system includes one or more sensors configured to generate output signals conveying information related to the vehicle. The system receives contextual information from a source external to the vehicle. The system detects a vehicle event based on the information conveyed by the output signals from the sensors and the received contextual information.

A method to control, while driving along a curve, a road vehicle with a variable stiffness and with rear steering wheels. The method comprises the steps of: determining an actual attitude angle of the road vehicle; establishing a desired attitude angle; determining an actual yaw rate of the road vehicle; establishing a desired yaw rate; and changing, in a simultaneous and coordinated manner, the steering angle of the rear wheels and the distribution of the stiffness of the connection of the four wheels to the frame depending on a difference between the actual attitude angle and the desired attitude angle and depending on a difference between the actual yaw rate and the desired yaw rate.

A method for providing a coast recommendation for an operator of a vehicle, including receiving vehicle position data; determining a projected route; determining a first speed change position and a first speed change target speed; determining a first residual speed and a first residual speed position based at least in part on the first speed change position and the first speed change target speed; determining a first lower speed envelope; determining an overall lower speed envelope based at least in part on the first residual speed; determining an upper speed envelope; determining a target speed profile based at least in part on the first residual speed, the first residual speed position, the first lower speed envelope, and the upper speed envelope; determining a coast start point based at least in part on the target speed profile; and communicating the coast start point to the operator of the vehicle.