Abstract: A method and an apparatus for controlling lane changing, and a storage medium includes: predicting a target pose of a vehicle changed to a second lane based on a current pose of the vehicle on a first lane in response to a trigger of changing the vehicle from the first lane to the second lane; and determining a lane changing preparation pose of the vehicle on the first lane based on the target pose and at least one parameter of the vehicle.

Abstract: The application provides a method and an apparatus for testing an autonomous vehicle, and a storage medium, where the method includes: obtaining detection information of the autonomous vehicle, where the detection information is configured to indicate the test result obtained when the detecting apparatus in the autonomous vehicle tests the autonomous vehicle; further, generating a test interface according to the obtained detection information, and displaying the test interface, so that the tester can visually check various test information of the autonomous vehicle during the road running test, thereby not only saving a labor cost, but also improving a test efficiency of the road running test.

Abstract: The present disclosure provides a method and apparatus for unmanned vehicle dispatching management, a device, a storage medium and a program, which relates to autonomous driving and intelligent transportation technology in artificial intelligence. The specific implementation solution includes: receiving an unmanned vehicle dispatching request; determining, according to the unmanned vehicle dispatching request, a first task type corresponding to a first unmanned vehicle to be dispatched; generating a first order corresponding to the first unmanned vehicle, where the first order is used to indicate a driving task to be performed by the first unmanned vehicle, and a type of the driving task is the first task type; and sending the first order to the first unmanned vehicle. Through the above process, a dispatching management of unmanned vehicles is realized from the task dimension, so that there is no need to distinguish the types of unmanned vehicles.

Abstract: The disclosure provides an automatic driving system, a vehicle control method and a device. The automatic driving system includes a main monitoring equipment, a secondary monitoring equipment, at least one equipment to be detected, and a standby equipment corresponding to each equipment to be detected; the primary monitoring equipment and the secondary monitoring equipment are connected to each equipment to be detected and the standby equipment corresponding to each equipment to be detected; the primary monitoring equipment is connected to the secondary monitoring equipment. The above system and control method ensure that an equipment of the vehicle is is abnormal, the vehicle can be switched to a standby equipment of the equipment in time, which greatly reduces an incidence of a safety accident caused by a failure of the equipment.

Abstract: The present application discloses a traffic monitoring method, an apparatus, a device, and a storage medium, relates to fields of autonomous driving, intelligent transportation, big data. The specific implementation is: acquiring road condition information and/or vehicle state information collected by a terminal device, where the terminal device is at least one of an unmanned vehicle and an unmanned aerial vehicle; performing a data analysis on the road condition information and/or the vehicle state information, and identifying a traffic event. Through the above procedure, monitoring efficiency of the traffic state is improved.

Abstract: Illustrative embodiments of the disclosure provide a method and apparatus for assessing a comfort level of a driving system. A method for generating an assessment model for comfort level in a driving system comprises acquiring a first assessment from a user on a comfort level of at least one traveling operation of the driving system, and acquiring a measurement of a traveling indicator of the driving system when performing the at least one traveling operation. The method further comprises generating the assessment model for the comfort level in the driving system based on the first assessment, the measurement of the traveling indicator, and a second assessment from the user on an overall comfort level of the driving system.

Abstract: The present disclosure provides an automatic driving system, fault alarm method and device, the system includes a primary monitoring device, an auxiliary monitoring device, at least one device to be detected and a fault alarm device; where the primary monitoring device and the auxiliary monitoring device are respectively connected to each device to be detected and the fault alarm device; the primary monitoring device and the auxiliary monitoring device are connected, the primary monitoring device and the auxiliary monitoring device respectively perform a fault detection on the each device to be detected; and if it is detected that any device to be detected is abnormal, the primary monitoring device or the auxiliary monitoring device sends an alarm instruction to the fault alarm device, so that the fault alarm device performs an alarm operation according to the alarm instruction.

Abstract: A method for detecting safety of a driving behavior, an apparatus, a device and a storage medium are provided. The method includes acquiring current driving data of a vehicle during a driving process of the vehicle; determining current driving behavior feature data of the vehicle according to the current driving data of the vehicle; inputting the current driving behavior feature data of the vehicle into a real-time safety detection model and calculating a security score corresponding to current driving behavior of the vehicle; and determining whether the current driving behavior of the vehicle is safe according to the security score corresponding to the current driving behavior of the vehicle. The method can assist an optimization of a vehicle driving system, reduce a safety risk of vehicle driving, and improve a riding experience of the user.

Abstract: The embodiments of the present disclosure provide a method and an apparatus for controlling autonomous driving of a vehicle, a device and a storage medium. The method is implemented at a portable electronic device, including: establishing a communication connection with a driving control system of the vehicle; receiving information related to a driving control of the vehicle from an external device of the vehicle, the information including at least one of perceptual information related to an environment where the vehicle is located, a path planning of the vehicle and a behavior prediction of at least one object in the environment; determining, based on the received information, a control instruction for a driving behavior of the vehicle; and transmitting, via the communication connection, the control instruction to the driving control system of the vehicle for executing the control instruction.

Abstract: The present disclosure provides an information upgrading method, an apparatus, and a storage medium for an automatic driving vehicle, where the method includes: determining a target in-vehicle client to be upgraded and acquiring target upgrade information; and further, transmitting an upgrade indication message carrying the target upgrade information to the target in-vehicle client by an over-the-air (OTA) technology, so that the target in-vehicle client performs an upgrade according to the target upgrade information. It can be seen that the effective information upgrading of the in-vehicle client in the automatic driving vehicle is achieved, and the user experience of the in-vehicle client and/or the automatic driving vehicle is improved.

Abstract: The present disclosure provides an automatic driving system, fault alarm method and device, the system includes a primary monitoring device, an auxiliary monitoring device, at least one device to be detected and a fault alarm device; where the primary monitoring device and the auxiliary monitoring device are respectively connected to each device to be detected and the fault alarm device; the primary monitoring device and the auxiliary monitoring device are connected, the primary monitoring device and the auxiliary monitoring device respectively perform a fault detection on the each device to be detected; and if it is detected that any device to be detected is abnormal, the primary monitoring device or the auxiliary monitoring device sends an alarm instruction to the fault alarm device, so that the fault alarm device performs an alarm operation according to the alarm instruction.

Abstract: The application provides a method and an apparatus for testing an autonomous vehicle, and a storage medium, where the method includes: obtaining detection information of the autonomous vehicle, where the detection information is configured to indicate the test result obtained when the detecting apparatus in the autonomous vehicle tests the autonomous vehicle; further, generating a test interface according to the obtained detection information, and displaying the test interface, so that the tester can visually check various test information of the autonomous vehicle during the road running test, thereby not only saving a labor cost, but also improving a test efficiency of the road running test.

Abstract: The disclosure provides an automatic driving system, a vehicle control method and a device. The automatic driving system includes a main monitoring equipment, a secondary monitoring equipment, at least one equipment to be detected, and a standby equipment corresponding to each equipment to be detected; the primary monitoring equipment and the secondary monitoring equipment are connected to each equipment to be detected and the standby equipment corresponding to each equipment to be detected; the primary monitoring equipment is connected to the secondary monitoring equipment. The above system and control method ensure that an equipment of the vehicle is is abnormal, the vehicle can be switched to a standby equipment of the equipment in time, which greatly reduces an incidence of a safety accident caused by a failure of the equipment.

Abstract: The disclosure provides a data processing method, apparatus and readable storage medium for evaluating ride comfortability, by receiving evaluation data input by a user through a data collection port, the evaluation data includes evaluation information of the user for each driving action of a vehicle on which the user rides, determining environmental information and/or vehicle driving parameters when the vehicle executes each driving action, according to the evaluation information corresponding to each driving action of the vehicle, as well as the environmental information and/or vehicle driving parameters, training a preset deep learning algorithm model, to obtain an evaluation model for outputting ride comfortability, the data processing flow for ride comfortability is simplified by establishing an evaluation model that can be configured to output ride comfortability, the processing efficiency is improved; it also makes the evaluation of the obtained ride comfortability more objective, with higher universal

Abstract: A method for detecting safety of a driving behavior, an apparatus, a device and a storage medium are provided. The method includes acquiring current driving data of a vehicle during a driving process of the vehicle; determining current driving behavior feature data of the vehicle according to the current driving data of the vehicle; inputting the current driving behavior feature data of the vehicle into a real-time safety detection model and calculating a security score corresponding to current driving behavior of the vehicle; and determining whether the current driving behavior of the vehicle is safe according to the security score corresponding to the current driving behavior of the vehicle. The method can assist an optimization of a vehicle driving system, reduce a safety risk of vehicle driving, and improve a riding experience of the user.

Abstract: Illustrative embodiments of the disclosure provide a method and apparatus for assessing a comfort level of a driving system. A method for generating an assessment model for comfort level in a driving system comprises acquiring a first assessment from a user on a comfort level of at least one traveling operation of the driving system, and acquiring a measurement of a traveling indicator of the driving system when performing the at least one traveling operation. The method further comprises generating the assessment model for the comfort level in the driving system based on the first assessment, the measurement of the traveling indicator, and a second assessment from the user on an overall comfort level of the driving system.