B60W10/20

Control system for a motor vehicle, method for operating the control system, and motor vehicle having such a control system
11713049 · 2023-08-01 · ·

The invention relates to a control System (2) for a motor vehicle (1), comprising a central vehicle Controller (3) for Controlling vehicle functions (4) and a plurality of driver assistance Systems (5). The driver assistance Systems (5) are set up to transmit a task key describing the particular assistance function thereof to the vehicle Controller (3) and to transmit a security key assigned to the particular assistance function to the vehicle Controller (3). The central vehicle Controller (3) is set up to identify a particular task of the driver assistance Systems (5) on the basis of the transmitted task keys, to carry out a security check by virtue of the vehicle Controller (3) checking, on the basis of the security keys transmitted in each case for the respectively identified tasks, whether the particular security key complies with at least one security level assigned to the particular task, and, if the security check was successful, to control the vehicle functions (4) according to respective control commands transmitted by the driver assistance System (5) in Order to perform the respective assistance functions. The invention also comprises a method for operating such a control System (2) and a motor vehicle (1) having such a control System (2).

SYSTEM AND METHOD FOR EVALUATING THE BEHAVIOR OF A VEHICLE COMPONENT
20230023884 · 2023-01-26 ·

A method for evaluating the behavior of a vehicle component, including: issuing a control signal by a control unit of a motor vehicle to a vehicle component; detecting a response of the motor vehicle to the control signal; determining the behavior of the vehicle component; classifying the behavior of the vehicle component; and adapting the actuation of the motor vehicle component by the control unit. Also described is a related system.

SYSTEM AND METHOD FOR EVALUATING THE BEHAVIOR OF A VEHICLE COMPONENT
20230023884 · 2023-01-26 ·

A method for evaluating the behavior of a vehicle component, including: issuing a control signal by a control unit of a motor vehicle to a vehicle component; detecting a response of the motor vehicle to the control signal; determining the behavior of the vehicle component; classifying the behavior of the vehicle component; and adapting the actuation of the motor vehicle component by the control unit. Also described is a related system.

Vehicle Motion Control Apparatus, Vehicle Motion Control Method, and Vehicle Motion Control System
20230026238 · 2023-01-26 ·

A vehicle motion control apparatus includes a control unit which controls a steering apparatus and a brake apparatus provided in a vehicle. The control unit acquires a normative motion state amount necessary for the vehicle to trace a target traveling path, acquires a target motion state amount necessary for generating a yaw moment to cancel unstable behavior of the vehicle, and acquires a target steering angle for generating a steering angle moment and a target brake force for generating a brake moment, to obtain a necessary yaw moment generated by the vehicle. The control unit outputs a first control command for obtaining the target steering angle to the steering apparatus and outputs a second control command for obtaining the target brake force to the brake apparatus.

Vehicle Motion Control Apparatus, Vehicle Motion Control Method, and Vehicle Motion Control System
20230026238 · 2023-01-26 ·

A vehicle motion control apparatus includes a control unit which controls a steering apparatus and a brake apparatus provided in a vehicle. The control unit acquires a normative motion state amount necessary for the vehicle to trace a target traveling path, acquires a target motion state amount necessary for generating a yaw moment to cancel unstable behavior of the vehicle, and acquires a target steering angle for generating a steering angle moment and a target brake force for generating a brake moment, to obtain a necessary yaw moment generated by the vehicle. The control unit outputs a first control command for obtaining the target steering angle to the steering apparatus and outputs a second control command for obtaining the target brake force to the brake apparatus.

Steering systems and methods using active braking

A differentially steered vehicle includes brakes on the powered wheels which are applied via a controller according to different methods to inhibit freewheeling during turns and improve steering responsiveness and stability. The methods include applying braking force to the wheel on the inside of a turn in response to the rate of turn as indicated by the position of the steering control, to the pressure differential across the hydraulic motors driving the wheels and the rotational speed of the wheels.

Steering systems and methods using active braking

A differentially steered vehicle includes brakes on the powered wheels which are applied via a controller according to different methods to inhibit freewheeling during turns and improve steering responsiveness and stability. The methods include applying braking force to the wheel on the inside of a turn in response to the rate of turn as indicated by the position of the steering control, to the pressure differential across the hydraulic motors driving the wheels and the rotational speed of the wheels.

OBJECT POSE ESTIMATION

A depth image of an object can be input to a deep neural network to determine a first four degree-of-freedom pose of the object. The first four degree-of-freedom pose and a three-dimensional model of the object can be input to a silhouette rendering program to determine a first two-dimensional silhouette of the object. A second two-dimensional silhouette of the object can be determined based on thresholding the depth image. A loss function can be determined based on comparing the first two-dimensional silhouette of the object to the second two-dimensional silhouette of the object. Deep neural network parameters can be optimized based on the loss function and the deep neural network can be output.

OBJECT POSE ESTIMATION

A depth image of an object can be input to a deep neural network to determine a first four degree-of-freedom pose of the object. The first four degree-of-freedom pose and a three-dimensional model of the object can be input to a silhouette rendering program to determine a first two-dimensional silhouette of the object. A second two-dimensional silhouette of the object can be determined based on thresholding the depth image. A loss function can be determined based on comparing the first two-dimensional silhouette of the object to the second two-dimensional silhouette of the object. Deep neural network parameters can be optimized based on the loss function and the deep neural network can be output.

VEHICLE SYSTEM
20230022348 · 2023-01-26 · ·

A vehicle system, including: a steering system; and a longitudinal-force application system including longitudinal-force application actuators configured to apply longitudinal forces respectively to one or more left-side wheels and one or more right-side wheels and a longitudinal-force controller configured to control the longitudinal-force application actuators to control the longitudinal forces applied respectively to the one or more left-side wheels and the one or more right-side wheels;, and an onboard power source device including a main power source and a secondary power source. When the main power source fails to supply electric power to the longitudinal-force application system and the steering system, the longitudinal-force controller controls the longitudinal-force application actuators to control a difference between the longitudinal force applied to the one or more left-side wheels and the longitudinal force applied to the one or more right-side wheels, thereby turning the vehicle.