A vehicle positioning method via data fusion and a system using the same are disclosed. The method is performed in a processor electrically connected to a self-driving-vehicle controller and multiple electronic systems. The method is to perform a delay correction according to a first real-time coordinate, a second real-time coordinate, real-time lane recognition data, multiple vehicle dynamic parameters, and multiple vehicle information received from the multiple electronic systems with their weigh values, to generate a fusion positioning coordinate, and to determine confidence indexes. Then, the method is to output the first real-time coordinate, the second real-time coordinate, and the real-time lane recognition data that are processed by the delay correction, the fusion positioning coordinate, and the confidence indexes to the self-driving-vehicle controller for a self-driving operation.

Disclosed is a method intended to regulate the speed of a vehicle with at least partially automated driving and knowing the radius of curvature of a future segment which it is about to take on its route. This method comprises a step (10-90) which involves regulating the speed of the vehicle in accordance with a speed setpoint and, in the event that a radius of curvature of the future segment representative of a bend is detected, determining a maximum transverse acceleration that the vehicle can undergo in the bend depending on the speed setpoint, then a maximum speed that the vehicle would have in the bend if it underwent this maximum transverse acceleration in the presence of the detected radius of curvature, then imposing a deceleration phase on the vehicle until a deceleration speed chosen as a function of this determined maximum speed is reached.

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 control device includes a detector configured to detect a vicinity situation of a vehicle, a first controller configured to cause the vehicle to move to a position at which a user of the vehicle gets on or gets off the vehicle by controlling a speed and steering of the vehicle on the basis of the vicinity situation detected by the detector, and a second controller configured to reduce a detection load of the detector when the vehicle moves to the position as compared to when the vehicle does not move to the position.

Sound signals that are not audible are generated by one or more speakers disposed in the vehicle. Reflected sound signals from a driver or a passenger of the vehicle that are not audible are received by one or more microphones disposed in the vehicle. A behavior-induced acoustic pattern is detected based on the reflected ultrasound signals. The behavior-induced acoustic pattern is analyzed to recognize a behavior of the driver or the passenger of the vehicle. A response or an alert is generated according to the recognized behavior of the driver or the passenger in the vehicle.

A method, apparatus, and system for executing a lane change is disclosed. That an ADV is in a lane changing region for an anticipated lane change into a neighboring target lane in a first direction is determined. The first direction is either a left direction or a right direction in a direction of travel of the ADV. A reference line is moved toward the target lane in the first direction at a predetermined rate while the reference line is kept within a current lane of the ADV. A gap in traffic for the anticipated lane change is searched for. Thereafter, in response to finding the gap in traffic for the anticipated lane change, the ADV is controlled to complete the lane change into the target lane.

Described herein are various techniques, including systems and non-transitory instructions, that, in response to obtaining information regarding a potential collision between a vehicle and an object, obtain data describing the vehicle for a time period extending before and after a time of the potential collision. The system may determine a likelihood that the potential collision is a non-collision event based on the data describing the vehicle by performing one or more assessments. The assessments may include telematics monitor assessment, driver behavior assessment, road surface feature assessment, trip correlation assessment, and/or context assessment. In response to determining that the likelihood indicates that the potential collision is not a non-collision event, the system may trigger one or more actions responding to the potential collision.

Systems and methods are provided for navigating a vehicle to veer around a lane obstruction safely into a neighboring lane. The system may plan a trajectory around the obstructed lane. Over a temporal horizon, the system determines temporal margins by measuring an amount of time between a predicted state of a moving actor in the neighboring lane and a predicted state of the vehicle. The system identifies a minimum temporal margin of the temporal margins and determines whether the minimum temporal margin is equal to or larger than a required temporal buffer. If the minimum temporal margin is equal to or larger than the required temporal buffer, the system generates a motion control signal to cause the vehicle to follow the trajectory to veer around the obstruction into the neighboring lane. Otherwise, the system generates a motion control signal to cause the vehicle to reduce speed or stop.

System and techniques for vehicle occupant monitoring are described herein. Sensor data, that includes visual image data, is obtained from a sensor array of the vehicle. An object carried by the vehicle is detected from the visual image data. A safety event for the vehicle may be identified based on the object detection and an operational element of the vehicle is altered in response to detecting the safety event.

A motor vehicle includes first and second drive axles coupled to respective sets of road wheels, torque actuators inclusive of rotary electric machines configured to transmit respective output torques to the drive axles, and a main controller in communication with the torque actuators. The controller receives vehicle inputs indicative of a total longitudinal and lateral motion request. In response, the controller calculates a total longitudinal torque request and/or a total longitudinal speed request, a yaw rate request, and a lateral velocity request, then determines, using a cost optimization function, a torque vector for allocating the total longitudinal torque request and/or speed request, the yaw rate request, and the lateral velocity request to the drive axles within predetermined constraints. The controller also transmits a closed-loop control signal to each torque actuator or local controllers thereof to apply the torque vector via the drive axles.