Abstract: A traffic accident processing method and apparatus, a device, a storage medium and a program product provided by the present disclosure include: receiving traffic accident information reported by a vehicle, where the traffic accident information is acquired when the vehicle determines that a traffic accident occurs according to sensor information; transmitting the traffic accident information to an accident processing terminal, where the accident processing terminal is configured to determine accident processing information according to the traffic accident information; and receiving the accident processing information transmitted by the accident processing terminal, and synchronizing the accident processing information with the vehicle and an insurance processing terminal.

Abstract: A method of determining a state of an intersection, an electronic device and a storage medium, which relate to a field of an artificial intelligence technology, in particular to fields of an intelligent transportation technology, a computer vision technology, and a machine learning technology. The intersection is formed by a convergence of a plurality of road segments including at least two driving-in road segments. The method includes: determining attribute data and traffic data of each of the at least two driving-in road segments; determining a congestion parameter of each driving-in road segment based on the attribute data and the traffic data; determining a state of each driving-in road segment by using the congestion parameter of each driving-in road segment as an input of a predetermined multi-classification model; and determining the state of the intersection based on the states of the at least two driving-in road segments.

Abstract: A method of determining a state of an intersection, an electronic device, and a storage medium, which relate to a field of artificial intelligence technology, and in particular to fields of intelligent transportation technology and computer vision technology. The intersection is formed by a convergence of a plurality of road segments including at least two driving-in road segments, and each driving-in road segment includes at least one sub road segment. The method includes: determining attribute data and traffic data of each sub road segment of each driving-in road segment; determining a traffic condition information of each driving-in road segment based on the attribute data and the traffic data; and determining the state of the intersection based on the traffic condition information of the at least two driving-in road segments.

Abstract: A method of adjusting a driving strategy for a driverless vehicle is provided, which relates to a field of artificial intelligence, in particular to autonomous driving, cloud computing, NLP, computer vision and other fields, and may be applied to an interaction scene between a driverless vehicle and a pedestrian. A specific implementation solution includes: detecting an emotion of at least one pedestrian in response to the at least one pedestrian being detected within a preset range in front of the driverless vehicle; and adjusting a current driving strategy for the driverless vehicle based on a specified emotion in response to detecting that the at least one pedestrian includes a target pedestrian exhibiting the specified emotion.

Abstract: A method of providing a prompt for a traffic light, a vehicle, an electronic device, and a storage medium are provided, relating to the field of computer technology, and in particular, to fields of intelligent traffic, image processing, etc. The method of providing a prompt for a traffic light includes: acquiring an image of the traffic light in response to a color deficiency mode being in an enabled state; recognizing a current color information of the traffic light in the image of the traffic light; and generating a prompt information based on the current color information, wherein the prompt information indicates at least a text information corresponding to the current color information.

Abstract: A method and an electronic device for detecting a vehicle queue length are disclosed. The method includes: when determining that a traffic light turns green, obtaining vehicle information of each vehicle on a lane section to be detected in a first preset time period before a time point when the traffic light turns green; determining at least one vehicle that has a static position and a static time point on the lane section to be detected; determining a first queuing vehicle and a last queuing vehicle on the lane section to be detected based on the at least one vehicle that has the static position and the static time point on the lane section to be detected; and determining a vehicle queue length on the lane section to be detected based on a position of the first queuing vehicle and a position of the last queuing vehicle.

Abstract: A method of warning a pedestrian or a vehicle to make avoidance of an autonomous vehicle, which relates to a field of artificial intelligence, in particular to fields of deep learning, cloud computing, NLP and the like, and is applicable to an automatic driving scenario. The method may include: acquiring a prompt for warning a pedestrian or a vehicle to make avoidance; and displaying the prompt on a display unit of the autonomous vehicle, where the display unit includes at least one selected from: a windshield, a window glass, a projection screen mounted on the windshield, or a projection screen mounted on the window glass.

Abstract: A method of generating a control signal for a traffic light, a device, and a medium are provided, which relate to a field of intelligent transportation. The method of generating the control signal for the traffic light includes: determining, in response to receiving a plurality of traffic data sets from different data sources, a plurality of traffic congestion data corresponding to the plurality of traffic data sets respectively based on the plurality of traffic data sets; calculating fused traffic congestion data based on the plurality of traffic congestion data and weights respectively corresponding to the plurality of traffic congestion data; and generating, based on the fused traffic congestion data, a control signal for controlling the traffic light.

Abstract: Embodiments of the present disclosure provide a method and an apparatus for adjusting on-vehicle projection, a device, and a storage medium. The method includes the following features. A face image of the driver captured by the on-vehicle imager is obtained. A projection position of an on-vehicle projection device is determined based on the face image of the driver, a parameter of the on-vehicle imager and an installation position of the on-vehicle projection device.

Abstract: The present application discloses a method for determining a delay between signals, an apparatus, a device and a storage medium, and relates to voice technology. In the method, apparatus, device, and storage medium provided by the present disclosure, by performing down-sampling processing on the signals, the amount of calculation for determining the delay can be reduced, thereby improving the determination efficiency. Moreover, signal segments including alignment positions of the two signals can be estimated in the signal through a currently determined delay, and then the processing can be performed again on the signal segments. In this way, a range for determination can be gradually reduced, that is, an accurate delay can be obtained by just processing shorter signals, which not only ensures the accuracy of the determination, but also reduces the amount of data processing.

Abstract: A method for map query includes the following. A map query request and a current location of a terminal device are obtained. A map area to be displayed and a query object to be highlighted in the map area are obtained based on the map query request and the current location. A display icon corresponding to the query object is generated. A radar chart of the map area is drawn based on the current location, and the location where the query object is located is marked with the display icon.

Abstract: A method for predicting traffic data includes: obtaining traffic data in a plurality of periods; determining a reference period from the at least one historical period based on a time interval between each of the at least one historical period and the target period; determining a data similarity between the target period and the reference period based on traffic data at a first time point in the target period and traffic data at a time point corresponding to the first time point in the reference period; obtaining reference traffic data at a time point in the reference period corresponding to a second time point to be predicted in the target period; and predicting traffic data at the second time point in the target period based on the data similarity between the target period and the reference period, and the reference traffic data in the reference period.

Abstract: The disclosure provides a method for acquiring a traffic volume and an electronic device. The method includes: acquiring first feature information and signal timing information of each of the phases in a target road section; and acquiring a traffic volume of the whole road section in a current signal light control period of the target road section based on the first feature information and the signal timing information.

Abstract: A method for identifying a traffic light, a device, and a medium are provided, which relate to fields of autonomous driving, image processing, etc. The method for identifying a traffic light includes: identifying a first position information of the traffic light in an image to be identified; determining a target position information from at least one second position information based on a relative position relationship between the first position information and the at least one second position information, in response to the first position information indicating a position of a part of the traffic light, wherein the at least one second position information indicates a position of the traffic light; and identifying a color of the traffic light in a first image area corresponding to the target position information in the image to be identified.

Abstract: Disclosed are a method and an apparatus for synchronizing a verification code, an electronic device and a storage medium. The specific solution includes: acquiring by a server a verification code sent by a first client, in which the first client is located in a first terminal device; determining by the server a second client associated with the first client based on an identifier of the first client, in which the second client is located in a second terminal device; and sending by the server the verification code to the second client, to cause the second client to synchronize the verification code to a target application.

Abstract: A method and an apparatus for connecting through on-vehicle Bluetooth, and a storage medium includes: acquiring a first face image of a driver in response to an on-vehicle Bluetooth apparatus being on; determining a first face identifier corresponding to the driver by performing face recognition on the first face image; querying a first correspondence according to the first face identifier, in which the first correspondence indicates a correspondence between face identifiers and Bluetooth identifiers of terminals; in response to determining a first Bluetooth identifier matching the first face identifier, establishing, according to the first Bluetooth identifier, a Bluetooth connection between the on-vehicle Bluetooth apparatus and a first terminal Bluetooth apparatus corresponding to the first Bluetooth identifier.

Abstract: A method and apparatus for executing an instruction, an electronic device, a computer readable storage medium, and a computer program product are provided. The method includes receiving a transmitted actual voice instruction; determining a target location where the actual voice instruction is released; acquiring a target valid instruction set corresponding to the target location; and executing an operation corresponding to the actual voice instruction, in response to the actual voice instruction being a target valid instruction in the target valid instruction set.

Abstract: A method, an apparatus, an electronic device and a storage medium for displaying an AR navigation are provided. The method may include: recognizing a navigation scene at a current moment during an AR navigation; determining, according to a preset mapping relationship between a navigation scene and a service function, a current service function corresponding to the navigation scene at the current moment; and displaying the current service function corresponding to the navigation scene at the current moment in the navigation scene at the current moment. According to embodiments of the present disclosure, different service functions may be flexibly displayed for different navigation scenes. Therefore, a multi-channel output in the different navigation scenes may be realized, thus saving maintenance time and a maintenance cost.

Abstract: A method for TTS includes: acquiring, TTS tasks to be processed and software identifiers corresponding to the TTS tasks, on a terminal device; determining a current scene of the terminal device and priorities corresponding to the software identifiers in the current scene; acquiring a sorting result by sorting the TTS tasks based on the priorities corresponding to the software identifiers; and executing the TTS tasks based on the sorting result.

Abstract: A method for reporting asynchronous data and an electronic device are provided. The method includes: in response to satisfying a data reporting condition, calling a connection opening function for opening a Socket connection of a network resource, and generating a HypertextTransferProtocol (HTTP) request by the connection opening function, in which the HTTP request at least includes address information of a server and data to be reported; calling a writing function to write the HTTP request into an exclusive resource corresponding to the connection opening function, and sending the HTTP request to the server by the exclusive resource; and in response to that sending the HTTP request by the exclusive resource is completed, closing the exclusive resource by calling a close function, so as to stop receiving a feedback message of the HTTP request sent by the server, and terminate data reporting.