A method for monitoring vehicle inertia parameters in real-time includes receiving at least one lateral dynamic value. The method also includes calculating at least one vehicle inertia parameter value using the at least one lateral dynamic value. The method also include determining a difference between the calculated at least one vehicle inertia parameter value and a corresponding baseline vehicle inertia parameter value. The method also includes, based on a comparison between the difference between the calculated at least one vehicle inertia parameter value and the corresponding baseline vehicle inertia parameter value and a threshold, selectively controlling at least one vehicle operation based on the calculated at least one vehicle inertia parameter value.

The present disclosure relates to an integrated control apparatus for a vehicle, a system including the same, and a method thereof, and an exemplary embodiment of the present disclosure provides an integrated control apparatus for a vehicle, including: a processor configured to perform braking control in an initial stage of steering control of a driver, to control a damping force of an electronic controlled suspension, to release the braking control in a later stage of steering control of the driver, and to increase the damping force of the electronic controlled suspension; and a storage configured to store data obtained by the processor and an algorithm for driving the processor.

A driving method of controlling a vehicle is provided to solve the problem of a repeated wheel slip and deterioration of wheel slip control performance due to a roll motion by controlling the driving force of a vehicle by reflecting vertical load information of tires in real time while the vehicle is turning, to a method that can solve the problem of a repeated wheel slip and deterioration of wheel slip control performance due to a roll motion by controlling the driving force of a vehicle by reflecting vertical load information of tires in real time while the vehicle is turning.

A method for controlling driving force of a vehicle in which driving force of the vehicle is controlled by pre-reflecting vertical load information of tires in real time during turning of the vehicle, to solve repeated occurrence of wheel slip and wheel slip control performance degradation due to roll motion, includes determining, by a controller, a basic torque command in real time based on vehicle driving information obtained while driving of the vehicle, obtaining information related to left wheel and right wheel vertical loads in real time based on information collected by the vehicle, determining a torque upper limit from the real-time vertical load information, determining a final torque command limited so as not to exceed the determined torque upper limit from the real-time determined basic torque command, and controlling operation of a driving device in accordance with the determined final torque command.

The invention obtains a controller and a control method capable of appropriately assisting with an operation by a driver while preventing a motorcycle from falling over. In the controller and the control method according to the invention, in a control mode to make the motorcycle perform an automatic cruise deceleration operation, automatic deceleration that is deceleration of the motorcycle generated by the automatic cruise deceleration operation is controlled in accordance with a lean angle of the motorcycle.

This application relates to a vehicle control system, a vehicle control method, and a storage medium. The vehicle control system includes: a planning layer in which a service is configured to generate an operation instruction according to a driving task; a reference layer in which a service is configured to generate a target parameter according to the operation instruction, the target parameter reflecting a requirement for state control of a vehicle; an advanced control layer in which a service is configured to generate an execution parameter according to the target parameter, the execution parameter reflecting an execution capability of a vehicle executor for the requirement for state control; an allocation control layer in which a service is configured to allocate category task parameters to category executors according to the execution parameter; and an underlying control layer in which a service is configured to provide the category task parameter for at least one of the category executors. The vehicle control system can shield underlying hardware and provide a comprehensive service combination, so as to implement more rational control.

A vehicle includes a frame having a left side and a right side, a plurality of wheels including a plurality of left wheels at the left side of the frame and a plurality of right wheels at the right side of the frame, and a vehicle stability system including an actuator device selectively actuated to balance the vehicle on either the plurality of left wheels or the plurality of right wheels while maintaining a space between the other of the plurality of left wheels or the plurality of right wheels and a ground surface.

A motion planner of an autonomous vehicle's computer system uses reconfigurable collision detection architecture hardware to perform a collision assessment on a planning graph for the vehicle prior to execution of a motion plan. For edges on the planning graph, which represent transitions in states of the vehicle, the system sets a probability of collision with a dynamic object in the environment based at least in part on the collision assessment. Depending on whether the goal of the vehicle is to avoid or collide with a particular dynamic object in the environment, the system then performs an optimization to identify a path in the resulting planning graph with either a relatively high or relatively low potential of a collision with the particular dynamic object. The system then causes the actuator system of the vehicle to implement a motion plan with the applicable identified path based at least in part on the optimization.

The control device includes a vehicle required braking force acquisition unit that acquires a vehicle required braking force that is a required value of the braking force applied to the vehicle, and a roll control unit that controls the rolling motion of the vehicle by adjusting a distribution ratio of the braking force with respect to a target wheel including at least one of a rear wheel on an inside during turning and a front wheel on an outside during turning of the vehicle when the braking force is applied to the vehicle according to the vehicle required braking force under a situation where the vehicle is turning.

A motion planner of an autonomous vehicle's computer system uses reconfigurable collision detection architecture hardware to perform a collision assessment on a planning graph for the vehicle prior to execution of a motion plan. For edges on the planning graph, which represent transitions in states of the vehicle, the system sets a probability of collision with a dynamic object in the environment based at least in part on the collision assessment. Depending on whether the goal of the vehicle is to avoid or collide with a particular dynamic object in the environment, the system then performs an optimization to identify a path in the resulting planning graph with either a relatively high or relatively low potential of a collision with the particular dynamic object. The system then causes the actuator system of the vehicle to implement a motion plan with the applicable identified path based at least in part on the optimization.