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.

A method for controlling configuration of a truck includes identifying a current operating situation of the truck, implementing one of a plurality of sets of configuration parameters associated with the current operating situation, wherein each set of configuration parameters comprises at least two different configuration parameters related respectively to a ground-linking system and a powertrain system of the truck, and wherein said plurality of sets of configuration parameters comprises at least a default set of configuration parameters associated with a default driving operating situation and an off-road set of configuration parameters associated with an off-road operating situation.

A method for controlling autonomous driving in a vehicle capable of the autonomous driving may include collecting vehicle travel status information and system status information during the autonomous driving, sensing a failure based on the system status information, identifying normally controllable actuators when sensing the failure, determining a risk degree corresponding to the sensed failure based on the normally controllable actuator information and the vehicle travel status information, determining a safety state based on normally controllable actuator information and the risk degree, and determining a failure safety strategy corresponding to the safety state.

A method for controlling autonomous driving in a vehicle capable of the autonomous driving may include collecting vehicle travel status information and system status information during the autonomous driving, sensing a failure based on the system status information, identifying normally controllable actuators when sensing the failure, determining a risk degree corresponding to the sensed failure based on the normally controllable actuator information and the vehicle travel status information, determining a safety state based on normally controllable actuator information and the risk degree, and determining a failure safety strategy corresponding to the safety state.

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.

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.

Systems and methods of autonomously controlling a vehicle across the grip driving and drift driving operating ranges, are provided. The contemplated autonomous control can be effectuated using a closed-loop control system. In some embodiments, closed-loop control may be accomplished by deriving control laws involving sideslip angle, yaw rate, wheel speed, and other vehicle states. These control laws may be used to control the vehicle in a stable drift condition.

Systems and methods of autonomously controlling a vehicle across the grip driving and drift driving operating ranges, are provided. The contemplated autonomous control can be effectuated using a closed-loop control system. In some embodiments, closed-loop control may be accomplished by deriving control laws involving sideslip angle, yaw rate, wheel speed, and other vehicle states. These control laws may be used to control the vehicle in a stable drift condition.

Provided is an acceleration suppression apparatus having improved practicality. The acceleration suppression apparatus includes: an in-vehicle sensor (20) configured to acquire information relating to a position of an own vehicle and information relating to an operation of an operating element of the own vehicle to output the acquired information; and a parking assist ECU (10) configured to execute, based on the information acquired from the in-vehicle sensor (20), acceleration suppression control for suppressing acceleration of the own vehicle by controlling at least one of a drive device (30) or a braking device (40) mounted on the own vehicle. The parking assist ECU (10) is configured to execute the acceleration suppression control when, in a situation in which the own vehicle is positioned in a predetermined region including a parking space, a traveling mode of the own vehicle matches a predetermined mode defined in advance as a traveling mode when the own vehicle is being parked in the parking space.

Provided is an acceleration suppression apparatus having improved practicality. The acceleration suppression apparatus includes: an in-vehicle sensor (20) configured to acquire information relating to a position of an own vehicle and information relating to an operation of an operating element of the own vehicle to output the acquired information; and a parking assist ECU (10) configured to execute, based on the information acquired from the in-vehicle sensor (20), acceleration suppression control for suppressing acceleration of the own vehicle by controlling at least one of a drive device (30) or a braking device (40) mounted on the own vehicle. The parking assist ECU (10) is configured to execute the acceleration suppression control when, in a situation in which the own vehicle is positioned in a predetermined region including a parking space, a traveling mode of the own vehicle matches a predetermined mode defined in advance as a traveling mode when the own vehicle is being parked in the parking space.