Abstract: Disclosed is a dynamic regulation method for a lane changing decision point of a CAV dedicated lane in a diverging area of an expressway, applied to the diverging area of the expressway in which the CAV dedicated lane is provided at an inner side of a road. Vehicles traveling in the CAV dedicated lane are all CAVs. Both the CAVs and human-driven vehicles can travel in ordinary lanes. The method calculates the lane changing decision points of diversion vehicles in the CAV dedicated lane at current time using corresponding algorithms based on a relationship between the lane changing decision points of the CAV dedicated lane and traffic efficiency and a traffic safety.

Abstract: Systems and methods of the present disclosure include animating virtual avatars or agents according to input audio and one or more selected or determined emotions and/or styles. For example, a deep neural network can be trained to output motion or deformation information for a character that is representative of the character uttering speech contained in audio input. The character can have different facial components or regions (e.g., head, skin, eyes, tongue) modeled separately, such that the network can output motion or deformation information for each of these different facial components. During training, the network can use a transformer-based audio encoder with locked parameters to train an associated decoder using a weighted feature vector. The network output can be provided to a renderer to generate audio-driven facial animation that is emotion-accurate.

Abstract: An image processing method includes obtaining a target image; splitting the target image into at least one sub-image based on a similarity of complexity in the target image; processing the at least one sub-image by at least one decoder corresponding to the at least one sub-image; and obtaining an output image based on the processed at least one sub-image. The splitting of the target image into the at least one sub image includes: splitting the target image into at least one grid of equal size; determining a similarity of complexity between adjacent grids in the at least one grid; and grouping the at least one grid into the at least one sub-image based on the similarity of the complexity between the adjacent grids.

Abstract: In various examples, a technique for audio-driven facial animation with adaptive speech includes determining that a rate of speech associated with an audio segment exceeds a threshold. The technique also includes based at least on the rate of speech exceeding the threshold, upsampling a first set of features associated with the audio segment into a second set of features that is different in size than the first set of features. The technique further includes generating, using one or more machine learning models and based at least on at least a subset of the second set of features, a facial animation output corresponding to the audio segment.

Abstract: In various examples, techniques are described for animating characters by decoupling portions of a face from other portions of the face. Systems and methods are disclosed that use one or more neural networks to generate high-fidelity facial animation using inputted audio data. In order to generate the high-fidelity facial animations, the systems and methods may decouple effects of implicit emotional states from effects of audio on the facial animations during training of the neural network(s). For instance, the training may cause the audio to drive the lower face animations while the implicit emotional states drive the upper face animations. In some examples, in order to encourage more expressive expressions, adversarial training is further used to learn a discriminator that predicts if generated emotional states are from real distribution.

Abstract: Disclosed is a dynamic regulation method for a lane changing decision point of a CAV dedicated lane in a diverging area of an expressway, applied to the diverging area of the expressway in which the CAV dedicated lane is provided at an inner side of a road. Vehicles traveling in the CAV dedicated lane are all CAVs. Both the CAVs and human-driven vehicles can travel in ordinary lanes. The method calculates the lane changing decision points of diversion vehicles in the CAV dedicated lane at current time using corresponding algorithms based on a relationship between the lane changing decision points of the CAV dedicated lane and traffic efficiency and a traffic safety.

Abstract: Embodiments of the present disclosure provide a method for traffic flow control considering a bus stop in a connected environment, comprising: determining an influence region of the bus stop; dividing the influence region of the bus stop into influence subregions; collecting vehicle information of each of the influence subregions at time t; comparing lane changing pressures of different influence subregions of the bus stop; determining a predicted count of lane changing vehicles of each of the influence subregions based on lane changing pressure differences; and selecting optimal lane changing vehicles to complete lane changing. A vehicle density distribution in the influence region of the bus stop can be dynamically regulated through vehicle information interaction in the connected environment, thereby making the spatial distribution of the traffic flow more balanced, saving vehicle traveling time, and improving the operation efficiency of the traffic flow.

Abstract: Embodiments of the present disclosure provide a method for lane changing decision for vehicles on expressways considering safety risks in a networked environment, which is applicable to a multi-lane expressway. The method includes collecting a demand for lane change of a target vehicle; collecting a roadway and a lane where the target vehicle is located; collecting intervals between the target vehicle and a front vehicle and a rear vehicle on a lane that is switching into; determining a lane change direction of the vehicle; and executing a lane change operation by the target vehicle. A lane changing decision model provided in the embodiments of the present disclosure helps to improve the efficiency of lane change and the safety of lane change in expressways and provides a support for changing lanes in a multi-lane expressway.

Abstract: Embodiments of the present disclosure provide a method for traffic flow control considering a bus stop in a connected environment, comprising: determining an influence region of the bus stop; dividing the influence region of the bus stop into influence subregions; collecting vehicle information of each of the influence subregions at time t; comparing lane changing pressures of different influence subregions of the bus stop; determining a predicted count of lane changing vehicles of each of the influence subregions based on lane changing pressure differences; and selecting optimal lane changing vehicles to complete lane changing. A vehicle density distribution in the influence region of the bus stop can be dynamically regulated through vehicle information interaction in the connected environment, thereby making the spatial distribution of the traffic flow more balanced, saving vehicle traveling time, and improving the operation efficiency of the traffic flow.

Abstract: A testing platform for evacuated tube high-temperature superconducting magnetic levitation (HTS maglev) under a high-speed operation state, including an evacuated tube, a supporting platform assembly, a model train and a gantry. The supporting platform assembly is arranged in the evacuated tube, and is provided with a permanent magnet track and a stator winding. A mover and a cryogenic dewar are arranged at a bottom of the model train, and multiple superconducting bulks are arranged in the cryogenic dewar. A side wall of the model train is made of a metal material. The gantry is arranged on the supporting platform assembly, and permanent magnets are arranged on upright posts of the gantry. A testing method using the testing platform is also provided.

Abstract: The disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for IoT. The disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. An image processing method and apparatus, electronic device and computer readable storage medium, which belong to image processing field are provided. The method and apparatus, electronic device and computer readable storage medium include segmenting an image to be processed to obtain a target region in the image to be processed, and performing style transfer on the target region. The solution provided may effectively improve effects of image processing, and better meet requirements of practical application.

Abstract: A mapping method for right-turn conflict warning lines at urban road intersections includes: obtaining the conflict data of urban intersections and the driving trajectory information of large vehicles and obtaining the outermost rear wheel trajectory curve and the innermost rear wheel trajectory curve through the driving trajectory information of large vehicles; using the regression model to construct the dynamic model of the right-turn conflict area of large vehicles and obtain the relationship between the parameters of the outermost rear wheel trajectory curve and the innermost rear wheel trajectory curve and the dynamic and static indexes; inputting the dynamic and static indexes of other road intersections into the dynamic model of the right-turn conflict area of large vehicles to obtain the corresponding outermost rear wheel trajectory curve and the innermost rear wheel trajectory curve, and drawing the urban road warning line.

Abstract: A testing platform for evacuated tube high-temperature superconducting magnetic levitation (HTS maglev) under a high-speed operation state, including an evacuated tube, a supporting platform assembly, a model train and a gantry. The supporting platform assembly is arranged in the evacuated tube, and is provided with a permanent magnet track and a stator winding. A mover and a cryogenic dewar are arranged at a bottom of the model train, and multiple superconducting bulks are arranged in the cryogenic dewar. A side wall of the model train is made of a metal material. The gantry is arranged on the supporting platform assembly, and permanent magnets are arranged on upright posts of the gantry. A testing method using the testing platform is also provided.

Abstract: A foam production method includes mixing liquid nitrogen with a foaming material to produce foam. A gas is produced in situ from liquid nitrogen. As the ratio of the volume of the gas produced by gasification of liquid nitrogen to the volume of the liquid nitrogen is relatively high, when a large gas supply flow is needed to generate a large foam flow, a liquid nitrogen storage device of a small volume can be used instead of bulky air supply devices such as high-pressure gas cylinders, air compressors, air compressor sets and the like, reducing the volume of the air supply device. In addition, the liquid nitrogen used in foaming will release nitrogen gas after the foam blast, such that the nitrogen is also able to inhibit combustion on the surface of burning materials, accelerating the extinguishing of the fire.

Abstract: A dynamic simulation test platform for ultra-high-speed evacuated tube magnetic levitation (maglev) transportation includes an evacuated tube having a transition section and a vacuum section, a vacuum maintaining system, a motor supporting platform, and a model train. One end of the evacuated tube is provided with a first isolation door, and the other end is closed. A second isolation door is provided inside the evacuated tube. The vacuum maintaining system is connected to the transition section and the vacuum section. The motor supporting platform is provided in the evacuated tube and extends outside the transition section. The motor supporting platform is provided with a stator winding and a permanent-magnet track. A mover and a cryogenic dewar are provided at a bottom of the model train. The cryogenic dewar is provided with a superconducting bulk. A test method using the test platform is further provided.

Abstract: A traffic information quantization method in an intelligent network environment includes: step S1: extracting traffic information sources according to collected videos and classifying the traffic information sources; step S2: obtaining a state set and a probability distribution of each traffic information source through actual observation and calculation; step S3: using information theory to quantify the traffic information sources. Further, a traffic information quantization system in the intelligent network environment is provided, and the traffic information quantization method in the intelligent network environment and its system are adopted to quantify the driving information of the driving process and calculate the amount of information. The method and system can transform uncertain information into certain information, improve driving efficiency, help drivers optimize the driving process, and ensure driving safety.

Abstract: A dynamic simulation test platform for ultra-high-speed evacuated tube magnetic levitation (maglev) transportation includes an evacuated tube having a transition section and a vacuum section, a vacuum maintaining system, a motor supporting platform, and a model train. One end of the evacuated tube is provided with a first isolation door, and the other end is closed. A second isolation door is provided inside the evacuated tube. The vacuum maintaining system is connected to the transition section and the vacuum section. The motor supporting platform is provided in the evacuated tube and extends outside the transition section. The motor supporting platform is provided with a stator winding and a permanent-magnet track. A mover and a cryogenic dewar are provided at a bottom of the model train. The cryogenic dewar is provided with a superconducting bulk. A test method using the test platform is further provided.

Abstract: A mapping method for right-turn conflict warning lines at urban road intersections includes: obtaining the conflict data of urban intersections and the driving trajectory information of large vehicles and obtaining the outermost rear wheel trajectory curve and the innermost rear wheel trajectory curve through the driving trajectory information of large vehicles; using the regression model to construct the dynamic model of the right-turn conflict area of large vehicles and obtain the relationship between the parameters of the outermost rear wheel trajectory curve and the innermost rear wheel trajectory curve and the dynamic and static indexes; inputting the dynamic and static indexes of other road intersections into the dynamic model of the right-turn conflict area of large vehicles to obtain the corresponding outermost rear wheel trajectory curve and the innermost rear wheel trajectory curve, and drawing the urban road warning line.