Systems, devices, and methods for validating vehicle trajectories are provided. A vehicle controller can obtain a motion plan indicative of a trajectory including one or more state variables and one or more control variables. The vehicle controller can determine a dynamics defect value for the motion plan based at least in part on the one or more state variables, the one or more control variables, and a continuous-time dynamics function comprising a function indicative of a change in the one or more state variables and the one or more control variables over time. The vehicle controller can further determine the motion plan is dynamically consistent based at least in part on the dynamics defect value, generate one or more vehicle system control signals, and control the autonomous vehicle based at least in part on the one or more vehicle system control signals.

A method and a device for eliminating a steady-state lateral deviation and a storage medium are provided. The method includes: determining whether a vehicle travels on a straight road; collecting a lateral deviation value of the vehicle in a case that the vehicle travels on a straight road; determining whether the vehicle has the steady-state lateral deviation based on the collected lateral deviation value; and compensating the steady-state lateral deviation of the vehicle in real time based on the collected lateral deviation value in a case that the vehicle has the steady-state lateral deviation. The vehicle has the steady-state lateral deviation may run steadily, a direction of the vehicle is more accurate, self-driving safety and efficiency are improved, the sense of leftward and rightward swaying brought by a continuous deviation rectification method in the conventional art is effectively eliminated, and self-driving stability is improved.

A vehicle driving force control method is provided. The vehicle driving force control method includes collecting vehicle driving information, estimating speed of a driving system of a vehicle from the collected vehicle driving information and calculating speed difference between measurement speed of the driving system and the estimated speed of the driving system, obtaining torque command rate information from the calculated speed difference, limiting a variation of reference torque command determined according to the vehicle driving information based on the acquired torque command rate information to determine final torque command, and controlling operation of a vehicle driving device according to the final torque command.

A method for ascertaining an expected contour of a mobile or stationary device for avoiding collisions, using at least one control unit that is internal external to the device includes: obtaining a movement trajectory of the device, which contains probability densities based on state estimation, at least based on expected values and covariances; obtaining a base polyhedron and an approximate contour of the device having a limited number of corners, a confidence interval within which a collision with the static and dynamic surroundings of the device is to be avoided being defined; transforming the base polyhedron to the at least one probability density of the movement trajectory that describes the state estimation; and, for each corner of the transformed base polyhedron, computing a transformed device contour, and ascertaining the expected contour of the device with inclusion of all transformed device contours.

A road surface condition estimation apparatus which accurately estimates a road surface condition even under changes of external environment such as weather, etc., and a road surface condition estimation method using the same is described. The road surface condition estimation apparatus includes: a sensor module which is mounted on a tire; a receiver module which receives sensing information measured by the sensor module; a processing module which extracts a parameter for estimating a road surface condition by analyzing the sensing information received by the receiver module; and an estimation module which estimates the road surface condition by using the parameter extracted by the processing module. The sensing information includes an acceleration of the tire.

A tire failure detection device includes a steering angle sensor for sensing a steering angle, a yaw rate sensor for sensing a yaw rate, and a control unit. The control unit calculates side-slip energy based on the output signal of the steering angle sensor and the output signal of the yaw rate sensor, and determines that a failure has occurred in a tire when the side-slip energy exceeds a first threshold.

A vehicle, and a method of controlling a vehicle, is capable of selecting a wheel speed that is most appropriate to obtain a speed of the vehicle from among wheel speeds of the vehicle to obtain an accurate speed of the vehicle. The vehicle includes a sensor configured to obtain wheel speed information of at least one wheel. The vehicle also includes a controller configured to select wheel speed information from among the wheel speed information of the at least one wheel based on a driving state of the vehicle and configured to determine a speed of the vehicle based on the selected wheel speed information.

A system includes a pattern recognizing module that identifies a pattern based on at least one of: (i) a movement of a driver of a vehicle, (ii) an object in front of the vehicle, (iii) a status of the vehicle, and (iv) an action of the vehicle. The pattern corresponds to a pattern response. A safety module compares the pattern response to a safe maneuver database. The pattern response is classified as safe in response to the pattern response matching at least one safe pattern response of the safe maneuver database. A pattern integration module integrates the pattern and the pattern response into a pattern database in response to the pattern response matching the at least one safe pattern response of the safe maneuver database. A vehicle control module performs the pattern response in response to the pattern recognizing module identifying the pattern.

A hybrid vehicle includes a vehicle control device to perform a traveling control so as to allow switching between an HV traveling in which the hybrid vehicle travels while an engine works and an EV traveling in which the hybrid vehicle travels while working of the engine is stopped, and an engine control device to execute a filter regeneration control that is an engine control for removing particulate matter deposited in a filter. The engine control device adopts satisfaction of a predetermined first condition, as a requirement for execution of the filter regeneration control, when the number of times of start of the engine after vehicle activation is one, and adopts satisfaction of a second condition, which is satisfied more easily than the first condition, as a requirement for execution of the filter regeneration control, when the number of times of the start is two or more.

A method and a device for eliminating a steady-state lateral deviation and a storage medium are provided. The method includes: determining whether a vehicle travels on a straight road; collecting a lateral deviation value of the vehicle in a case that the vehicle travels on a straight road; determining whether the vehicle has the steady-state lateral deviation based on the collected lateral deviation value; and compensating the steady-state lateral deviation of the vehicle in real time based on the collected lateral deviation value in a case that the vehicle has the steady-state lateral deviation. The vehicle has the steady-state lateral deviation may run steadily, a direction of the vehicle is more accurate, self-driving safety and efficiency are improved, the sense of leftward and rightward swaying brought by a continuous deviation rectification method in the conventional art is effectively eliminated, and self-driving stability is improved.