Disclosed is an apparatus and method for estimating a road profile for a vehicle. The apparatus includes a camera, processors, and a controller. The processors are configured to obtain a state of the vehicle including a behavior of the vehicle, and obtain a road height from information provided by the camera. The controller is configured to estimate the road profile by changing coordinates of the camera according to the behavior of the vehicle based on a vehicle height, compensating for the road height and a recognition road distance, and matching and filtering multiple road heights.

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.

A method and a system for avoiding collision of an object with a work tool coupled to a work machine. The method comprising generating an object signal by an object detector, monitoring the object signal in real-time by a processor, processing the object signal to detect an object at least partially buried in the ground surface, determining a distance between the object and a distance threshold, and sending by a controller a control signal to one or more of a machine control system and a work tool control system to modify one or more of a movement of the work tool or the work machine based on the object reaching the distance threshold.

A method and system for operating a vehicle's trailer reverse assist system is disclosed, including receiving vehicle sensor system data from one or more sensors supported by the vehicle. Based upon the received vehicle sensor data, a trailer pitch angle and a trailer roll angle of a coupled trailer are estimated relative to the vehicle. Surface unevenness of a surface traversed by the vehicle and the trailer is estimated, based upon the estimated trailer pitch angle and the estimated trailer roll angle. One or more parameters of the trailer reverse assist system or of the tow vehicle are adjusted based upon the estimated road surface variance. The trailer reverse assist system of the tow vehicle is subsequently operated using the adjusted one or more parameters.

A control requirement determiner includes: a storage that stores at least one piece of location information and at least one piece of behavior information as past data in which the location information and the behavior information are associated with each other, the location information indicating a geographic location, the behavior information being related to a behavior exhibited by a vehicle body of a vehicle at the location indicated by the location information when the vehicle traveled in the past; and processing circuitry that determines, based on the behavior information associated with the location information of the past data, a control requirement to be imposed on a control target of a rough terrain vehicle at the location indicated by the location information of the past data during travel of the rough terrain vehicle.

Predicting future infrastructure performance of a pathway article based on data for infrastructure performance features that influence predicted infrastructure performance at a future point in time. To predict infrastructure performance at a future point in time, a computing device receives one or more sets of infrastructure performance data for a pathway article that correspond respectively to infrastructure performance features. The infrastructure performance features may influence predicted infrastructure performance of the pathway article at a future point in time and the infrastructure performance data may correspond to a roadway portion. The computing device may generate, based at least in part on applying the one or more sets of infrastructure performance data to a model, at least one infrastructure performance prediction value that indicates predicted infrastructure performance of the pathway article at the future point in time.

The systems and methods described herein are related to terrain-based insights for advanced driver assistance systems (ADAS) in vehicles. Such terrain-based insights may be related to ADAS features such as adaptive cruise control, lane keep assist, automatic emergency braking, collision avoidance, and/or speed adaptation, among others.

An automotive system providing method for detecting a road in an abnormal state based on a measured value of an acceleration sensor mounted on a vehicle includes an acceleration sensor measuring a value of gravity acceleration acting on a vehicle; a position measuring sensor measuring a position of the vehicle; a memory in which the measured value of the gravity acceleration and the position of the vehicle at a time point at which the gravity acceleration is measured are stored; and a controller electrically connected to the acceleration sensor, the position measuring sensor and the memory and configured for determining a road corresponding to the position where the value of the gravity acceleration is measured as being in an abnormal condition when the controller concludes that a difference value between the value of the gravity acceleration measured during operation of the vehicle and a reference acceleration value added to the value of the gravity acceleration to correct the value of the gravity acceleration as a zero reference point is out of a predetermined threshold range.

The vehicle control device of the present invention acquires characteristics of a road condition in front of a traveling vehicle based on external information; acquires vehicle behavior control variables for controlling the behavior of the vehicle based on estimated state variables of the vehicle that are obtained based on the characteristics, and control variables concerning speed of the vehicle based on the external information; acquires trajectory tracking control variables for causing the vehicle to track the target trajectory based on the target trajectory on which the vehicle travels that are obtained based on the characteristics and the estimated state variables; and outputs the control commands for controlling the suspension device, steering device, and braking and driving device based on the vehicle behavior control variables and the trajectory tracking control variables. This improves travel stability of the vehicle on a road surface on which an irregularity such as ruts exists.

Terrain characteristics of an off-road area are determined based on a map. The terrain characteristics include a terrain type, a terrain grade, and a presence or an absence of an obstacle. Vehicle characteristics are determined including a ground clearance and a breakover angle. Based on a user level, vehicle parameters for the off-road area are determined based on the terrain characteristics, the vehicle characteristics, and the user input. The vehicle parameters include a speed and a transmission gear. The vehicle parameters for the off-road area are output.