A method, apparatus, and system for planning a deceleration trajectory based on a natural deceleration profile for an autonomous driving vehicle (ADV) is disclosed. In one embodiment, in response to a request for driving in a natural deceleration mode, a current speed of the ADV is determined. A speed guideline is generated based on a predetermined natural deceleration profile associated with the ADV in view of the current speed of the ADV. A speed planning operation is performed by optimizing a total cost function based on the speed guideline to determine speeds of a plurality of trajectory points along a trajectory planned to drive the ADV. A number of control commands are generated based on the speed planning operation to control the ADV with the planned speeds along the trajectory, such that the ADV naturally slows down according to the predetermined natural deceleration profile.

A system for a vehicle includes a first input device and a second input device that provides a plurality of selectable input options. The plurality of selectable input options comprises a plurality of control input options for controlling a plurality of vehicle functions and an association input option for associating the first input device with at least one vehicle function suggested from among the plurality of vehicle functions. The at least one vehicle function is suggested based on historical use of the control input option that controls the at least one vehicle function and an accessibility score of the control input option.

Aspects and implementations of the present disclosure address shortcomings of existing technology by enabling autonomous vehicle simulations based on retro-reflection optical data. The subject matter of this specification can be implemented in, among other things, a method that involves initiating a simulation of an environment of an autonomous driving vehicle, the simulation including a plurality of simulated objects, each having an identification of a material type of the respective object. The method can further involve accessing simulated reflection data based on the plurality of simulated objects and retro-reflectivity data for the material types of the simulated objects, and determining, using an autonomous vehicle control system for the autonomous vehicle, a driving path relative to the simulated objects, the driving path based on the simulated reflection data.

Provided is a vehicle control device with which it is possible to reduce the time required to rewrite a control program. In the vehicle control device according to the present invention, after an updated version of the control program has been stored in a second storage unit, a first storage unit is initialized in advance before the instruction to update the control program has been executed.

A system can train a vehicle electronically to accommodate a driver. The system can train the vehicle to accommodate the ability, condition, and/or personality of the driver. The system can change the controls of the vehicle, responsive to the inputs from the driver, to match with the patterns of controls resulting from a predetermined model (such as a safe-driver model). Accordingly, the vehicle can appear as it is being driven by a safe driver when it may not be the case. A driver with a lower driving competence may apply physical controls in a pattern that may be slow, unstable, or insufficient. However, the vehicle can be trained to adjust the transformation from the UI signals to the drive-by-wire signals such that the transformed signals appear to be applied by a more competent driver on the road. And, the transformation can improve over time with training via machine learning.

The present disclosure relates to a method for controlling at least one actuator of a vehicle, the actuator being configured to apply a torque on at least one wheel of the vehicle, wherein the applied torque is determined by a control function associated with a control bandwidth, the method comprising configuring the control function to control the applied torque to reduce a difference between a first parameter value related to a current rotational speed of the wheel and a second parameter value related to target rotational speed of the wheel; obtaining data indicative of a current operating condition of the vehicle; setting the control bandwidth of the control function in dependence of the current operating condition of the vehicle; and controlling the actuator using the control function.

A vehicle includes an axle, an electric machine, a first wheel, a second wheel, a first friction brake, a second friction brake, and a controller. The controller is programmed to, in response to and during an anti-locking braking event, generate first and second signals indicative of a braking torque demand at the first and second wheels, respectively, based on a difference between a desired wheel slip ratio and an actual wheel slip ratio of the first and second wheels, respectively, adjust a regenerative braking torque of the electric machine based on a product of the first signal and a regenerative braking weighting coefficient, adjust a first friction braking torque based on a product of the first signal and a friction braking weighting coefficient, and adjust a second friction braking torque based on the second signal and dynamics of the first and second output shafts.

In a torque distribution method for a vehicle, torque is optimally distributed to front and rear wheels of a vehicle by reflecting pitch motion characteristics and longitudinal load movement information of the vehicle in real time. The repetition of wheel slip and the degradation of wheel slip control performance caused by the pitch motion are reduced. The longitudinal load movement of the vehicle is reduced.

A device for generating a movement limitation signal for an autonomous motor vehicle equipped with an autopilot device adapted to pilot the autonomous vehicle, the autonomous vehicle belonging to a fleet of autonomous vehicles whose movements are supervised by a control center, via a communication network, the generation device being intended to be carried onboard the autonomous motor vehicle, the generation device operating by successive iterations, and the generation device including: —a key generator, adapted to generate a specific key; and —a communication unit, configured to transmit a first signal and to receive a response signal.

Disclosed herein are an apparatus and method for adaptive autonomous driving control. The apparatus includes memory in which at least one program is recorded and a processor for executing the program. The program may perform control of a target vehicle by converting a theoretical control value based on a vehicle control algorithm into a hardware-dependent control value, which is dependent on the platform or hardware of the target vehicle, and may modify at least one parameter or a conversion equation for conversion of the hardware-dependent control value such that an error is minimized based on the difference between a response value according to the control of the target vehicle and a control value.