A control method, relating to the technical field of automobile intelligent driving includes: determining a target parking spot, and automatically generating target track points, an estimated braking distance, and an estimated coasting distance; calculating the longitudinal distance between the current position and the target end point according to the target track points and the current control deviation; collecting real-time vehicle driving information, and calculating current vehicle speed, slope, and vehicle braking response time information;

updating the longitudinal distance at a fixed frequency according to the longitudinal distance to the target end point and the real-time vehicle speed; on the basis of control state decision logic, performing real-time estimation of the distance to the target parking point to determine the vehicle control state. A system for fixed-point parking in autonomous driving includes a vehicle information collection module, a position estimation module, and a control state decision module.

The present application relates to the technical field of vehicle controlling technology, and provides a method and a device for gradient calculating. The method for gradient calculating includes: acquiring current operating parameters of the vehicle, wherein the current operating parameters include a current longitudinal acceleration, a current lateral acceleration, a current vehicle acceleration, and a current vehicle speed; determining a first influence value of the current lateral acceleration on the current longitudinal acceleration according to the current lateral acceleration and the current vehicle speed; determining a second influence value of the current vehicle acceleration on the current longitudinal acceleration according to the current vehicle acceleration and the current vehicle speed; correcting the current longitudinal acceleration according to the first influence value and the second influence value; and determining the gradient value based on the corrected current longitudinal acceleration.

A sensor fusion system and method are disclosed. One or more processors are operable to receive a plurality of object detection measurements from a plurality of sensors. Each of the plurality of object detection measurements are associated with a potential object detection track. A plurality of sensor confidence values associated with each of the plurality of sensors are received. A track confidence value is determined for each of the potential object detection tracks based on the received plurality of object detection measurements and the received plurality of sensor confidence values. An object detection for a potential object detection track that has a determined track confidence value meeting a predetermined detection threshold is then determined, or confirmed, and stored in a memory for subsequent use, and is relatively unaffected by a measurement from a sensor that has a field of view that omits or is occluded with respect to the given object detection track.

The planning method includes: obtaining a distance map; determining a first horizontal background cost potential field in a near-field range based on the distance map, where the first horizontal background cost potential field is a first repulsion field formed by an obstacle at a horizontal location on the traveling apparatus, the first horizontal background cost potential field includes a target minimum-value point, background costs on two horizontal sides of the target minimum-value point feature monotonicity, and the background cost represents a near-field horizontal collision cost caused by the obstacle at the horizontal location in the near-field range to the traveling apparatus; and determining a current obstacle avoidance path based on the first horizontal background cost potential field. The method for planning an obstacle avoidance path in embodiments of this application enables the traveling apparatus to avoid an obstacle safely and stably in a complex and narrow traffic scenario.

A method for ascertaining movement variables of a two-wheeled vehicle. The two-wheeled vehicle includes a sensor system including rotational rate, acceleration, and wheel rotational speed sensors. The wheel rotational speed sensor detects at least one measurement pulse per rotation of a wheel of the two-wheeled vehicle. The method includes: acquisition of three-dimensional rotational rates of the two-wheeled vehicle by the rotational rate sensor, acquisition of acceleration values by the acceleration sensor, estimation of a state of movement of the two-wheeled vehicle based on the acquired rotational rates, the state of movement including estimated values for estimated acceleration values and for an estimated speed and for an estimated distance traveled, first correction of the estimated state of movement based on the acquired acceleration values, and ascertaining of an instantaneous speed of the two-wheeled vehicle and/or of a distance traveled by the two-wheeled vehicle, based on the corrected estimated state of movement.

A method for determining the payload mass resting on a wheel of a vehicle. In the method: using a level sensor system, in a time period in which the vehicle is moved, a time series of measured values is detected, which each indicate the vertical position of the vehicle body in relation to the wheel; a model is provided for the temporal development of the vertical position under the influence of the gravitational force of vehicle body and payload, an elastic suspension between the vehicle body and the wheel of the vehicle, and a damping of the vertical relative movement between the vehicle body and the wheel of the vehicle, the model being parameterized at least using the sought payload mass and the wheel of the vehicle and the connection of the wheel to the roadway being assumed to be rigid.

Disclosed are a system and a method for notifying an abnormality signal around a vehicle. The system includes: an external sound recognition module mounted on the outside of a vehicle or between the inside and outside of a vehicle, and configured to recognize a sound generated within a radius of a predetermined value or less from a point where the vehicle is located; a noise filtering module configured to filter out noise classified as a noise item; an abnormality signal detection module configured to identify the detailed sound information including the source, magnitude, and type of the detected sound, and to detect an auditory abnormality signal; and a notification module configured to notify each of the type, magnitude, and generation location of the auditory abnormality signal by means of any one or more of a visual signal and an auditory signal.

The present invention discloses an intelligent vehicle platoon lane change performance evaluation method. First, an intelligent vehicle platoon lane change performance test scenario is established; secondly, a three-degree of freedom nonlinear dynamics model is established according to motion characteristics of intelligent vehicles in a platoon lane change process; further, an improved adaptive unscented Kalman filter algorithm is utilized to perform filter estimation on state variables of positions and velocities of platoon vehicles; and finally, based on accurately recursive vehicle motion state parameters, evaluation indexes for platoon lane change performance are proposed and quantified, and an evaluation system for platoon lane change performance is constructed. According to the method proposed in the present invention, the problem of lacking platoon lane change performance quantitative evaluation at present is solved, vehicle motion state parameters can be measured in a high-precision and comprehensive manner, multi-dimensional platoon lane change performance evaluation indexes are quantified and output, and comprehensive, accurate, and reliable scientific quantitative evaluation for platoon lane change performance is achieved.

Embodiments of the present invention provide a vehicle having different operating modes, and for each such mode a different characteristic of output torque and accelerator pedal position. The rise of output torque in response to a propulsion request is more or less delayed according to the instant operating mode. The invention provides for blending of the response to a propulsion request so that the delay is progressively varied between a source and target operating mode.

A predicted course estimating apparatus for estimating a predicted course of the own vehicle, includes: a data acquiring means for acquiring turning data that indicates a turning direction of the own vehicle; a filtering means for removing a high-frequency component that is included in the turning data; a course predicting means for calculating an estimated value for course prediction of the own vehicle, based on the turning data that has been filtered and a speed of the own vehicle; a determining means for determining whether the own vehicle is traveling a part of a road where the shape changes; and a characteristics changing means for changing the extent of removing of the high-frequency component by the filtering means when it is determined that the own vehicle is traveling a part of the road where the shape changes.