Abstract: Embodiments of the present application disclose a vehicle control method, an apparatus, a vehicle, an electronic device and a storage medium, which relate to automatic driving technology. The method includes: outputting a prompt message, where the prompt message is used for prompting an intention of lane changing of a host vehicle to a surrounding vehicle, and the surrounding vehicle is a vehicle having a potential influence on the lane changing of the host vehicle; determining first driving state prediction information of the surrounding vehicle, where the first driving state prediction information is related to a feedback on the prompt message; generating and executing a first driving strategy according to the first driving state prediction information, where the first driving strategy includes lane-changing driving or driving within the current lane.

Abstract: The present disclosure relates to adaptive cruise control in the field of automatic driving, and discloses a vehicle control method, an apparatus, an electronic device and a storage medium. A specific implementation is: firstly, determining a target travelling scenario according to real-time monitoring data upon fulfilment of a preset update condition; then, determining a target time headway according to the target travelling scenario, where the target time headway is used to dynamically adjust a relative motion state between an host vehicle and a surrounding vehicle; and finally, controlling a vehicle according to the target time headway. It solves the problem of the prior art in overemphasizing the state of the vehicle ahead for automatic driving control while overlooking the perception of the driver or passenger of the host vehicle in the travelling scenario can prompt the driver to manually intervene, compromising the experience of the automatic driving.

Abstract: The present disclosure relates to adaptive cruise control in the field of automatic driving, and discloses a vehicle control method, an apparatus, an electronic device and a storage medium. A specific implementation is: firstly, determining a target travelling scenario according to real-time monitoring data upon fulfilment of a preset update condition; then, determining a target time headway according to the target travelling scenario, where the target time headway is used to dynamically adjust a relative motion state between an host vehicle and a surrounding vehicle; and finally, controlling a vehicle according to the target time headway. It solves the problem of the prior art in overemphasizing the state of the vehicle ahead for automatic driving control while overlooking the perception of the driver or passenger of the host vehicle in the travelling scenario can prompt the driver to manually intervene, compromising the experience of the automatic driving.

Abstract: A cruise control method, an electronic device, a vehicle and a storage medium are disclosed. The method includes: acquiring a driving habit weight of at least one candidate driving strategy associated with a target driving environment; wherein the driving habit weight is determined based on historical driving data of a historical driving device of a driving user; selecting a target driving strategy from the at least one candidate driving strategy according to the driving habit weight; and performing a cruise control on a target driving device of the driving user according to the target driving strategy.

Abstract: A method, an apparatus, a device, a vehicle, and a medium of cruising control are provided. The method includes determining vehicle self-sensing data and driving environment data during cruise of a target driving device; determining, from the historical vehicle self-sensing data associated with the historical driving environment data of the target driving device, target vehicle self-sensing data that matches the vehicle self-sensing data; determining pedal control information for cruising control of the target driving device based on the target driving state data associated with the target vehicle self-sensing data.

Abstract: Embodiments of the present application disclose a vehicle control method, an apparatus, a vehicle, an electronic device and a storage medium, which relate to automatic driving technology. The method includes: outputting a prompt message, where the prompt message is used for prompting an intention of lane changing of a host vehicle to a surrounding vehicle, and the surrounding vehicle is a vehicle having a potential influence on the lane changing of the host vehicle; determining first driving state prediction information of the surrounding vehicle, where the first driving state prediction information is related to a feedback on the prompt message; generating and executing a first driving strategy according to the first driving state prediction information, where the first driving strategy includes lane-changing driving or driving within the current lane.

Abstract: The present disclosure provides an unmanned vehicle traveling method and apparatus. The method includes: collecting a coordinate of a preceding vehicle according to a preset cycle; when detecting an initial coordinate of the preceding vehicle in a current cycle, determining a circular arc between the preceding vehicle and a present vehicle, wherein a central angle and a radius of the circular arc being determined according to the initial coordinate; performing calculation on the central angle, the radius of the circular arc and a predetermined number N of reference trajectory points according to a preset algorithm, and generating coordinates of N reference trajectory points of the present vehicle in a vehicle coordinate system in the current cycle; and generating a reference trajectory according to the coordinates of the N reference trajectory points, and controlling the present vehicle to travel according to the reference trajectory.

Abstract: The present disclosure provides a method and device for modelling a three-dimensional road model, and a storage medium. The method comprises: parsing two-dimensional road network data to establish a rudimentary road model; parsing panoramic image data to obtain three-dimensional attribute data of a traffic element; and combining the rudimentary model and the three-dimensional attribute data to obtain a three-dimensional road model. The method, device and storage medium can economically and efficiently acquire a three-dimensional road model based on a relatively easily obtained data source.

Abstract: Some embodiments of the present disclosure disclose a vehicular lane line data processing method, apparatus, storage medium, and device. The method includes: acquiring at least two consecutive original images of a vehicular lane line and positioning data of the original images; calculating, using a deep neural network model, a pixel confidence; determining an outline of the vehicular lane line and using the outline of the vehicular lane line as a candidate vehicular lane line; calculating a vehicular lane line confidence; filtering the candidate vehicular lane line; recognizing attribute information of the vehicular lane line; and determining map data of the vehicular lane line. The vehicular lane line data can be efficiently and precisely determined, the labor costs in high-precision map production is greatly reduced, and the mass production of high-precision maps can be achieved.

Abstract: The present disclosure provides a method and device for modelling a three-dimensional road model, and a storage medium. The method comprises: parsing two-dimensional road network data to establish a rudimentary road model; parsing panoramic image data to obtain three-dimensional attribute data of a traffic element; and combining the rudimentary model and the three-dimensional attribute data to obtain a three-dimensional road model. The method, device and storage medium can economically and efficiently acquire a three-dimensional road model based on a relatively easily obtained data source.

Abstract: The embodiments of the present disclosure disclose a vehicular lane line data processing method, apparatus, storage medium, and device.