Abstract: The present disclosure may provide imaging methods, systems and storage media. The imaging methods may include: obtaining first imaging data acquired by an imaging device, wherein the first imaging data includes data corresponding to a plurality of cardiac cycles; and performing image reconstruction on data corresponding to the plurality of cardiac cycles in the first imaging data to acquire one or more cardiac cines. Each cardiac cine of the one or more cardiac cines may include cardiac images of a plurality of phases in at least one cardiac cycle.

Abstract: Provided herein is technology relating to a function allocation system (FAS) that deploys artificial intelligence models for a connected automated highway (CAH) system and a connected automated vehicle (CAV) system to distribute driving intelligence between the CAV system and the CAH system. The FAS comprises a communication module, a data module, and a computing module. The computing module is configured to analyse scenes using sensing data, determine automated driving function requirements, deploy function allocation methods, and analyse CAH system and CAV system functions. The function allocation methods provide analysis, guidance, and optimization capabilities for sensing, decision-making, and control functions. The FAS allocates automated driving functions to the CAV system and the CAH system based on their respective intelligence levels.

Abstract: The invention presents a cloud-based model deployment and control system (CMDCS) for providing automated driving services. The CMDCS comprises a cloud-based platform, an onboard unit (OBU), and a Vehicle-to-System component. The cloud-based platform comprises a localization-enhancement subsystem and a cloud computing module. The CMDCS is configured to collect detectable data and undetectable data from vehicles, road, and cloud. Then, the CMDCS deploys a set of end-to-end AI models and methods for automated driving services, comprising sensing, prediction, planning, and control services. The AI models and methods are trained and optimized to process collected data for providing operating parameters for vehicles. Then, the vehicles can be effectively and efficiently controlled and operated by the CMDCS. In addition, the CMDCS is configured to generate and provide detailed time-sensitive vehicle specific control instructions.

Abstract: The invention provides an autonomous vehicle and center guidance system (AVCGS) for drone/tele driving or digital twins by sending guidance instructions to an autonomous vehicle (AV) or a connected automated vehicle (CAV). The AVCGS is a component of a Connected Automated Vehicle Highway (CAVH) system. This AVCGS is configured to operate AVs or CAVs using a hierarchy of traffic control centers/units (TCCs/TCUs). The AVCGS comprises automatic or semi-automated computational modules, a TCC/TCU communication module, and/or an onboard unit (OBU) communication module and a vehicle control module. The AVCGS communicates with one or more entities. The vehicle-specific guidance instructions and information comprise vehicle maneuver, safety maintenance, traffic control/road condition, and special information. The AVCGS provides backup in case of any errors or failures. Specifically, through the AVCGS, AVs or CAVs can be effectively and efficiently operated.

Abstract: The invention provides systems and methods for an autonomous vehicle and center control system (AVCCS), which is a component of a Connected Automated Vehicle Highway (CAVH) system. The AVCCS is configured to realize drone/tele driving or digital twins by providing automated vehicles (AVs) or connected automated vehicles (CAVs) with vehicle-specific control instructions comprising instructions for vehicle longitudinal and lateral position, speed, and steering and control. Specifically, through the system, AVs or CAVs can be effectively and efficiently controlled by the AVCCS. In addition, the AVCCS is configured to provide vehicle-specific control instructions to AVs or CAVs and control them through a hierarchy of traffic control centers/units (TCCs/TCUs) or the combination of TCCs/TCUs and the onboard units (OBUs) with a vehicle control module, wherein said TCCs/TCUs are configured to fulfill vehicle maneuver tasks, monitor safety maintenance tasks, and take over if the system fails.

Abstract: The invention provides an autonomous vehicle and intelligent control (AVIC) system with distributed AI computing, which is a component of a Connected Automated Vehicle Highway (CAVH) system. This AVIC system is configured to realize training and application for distributed AI computing by providing automated vehicles (AVs) and/or connected automated vehicles (CAVs) with vehicle-specific control instructions comprising instructions for vehicle longitudinal and lateral position, speed, and steering and control. Detailed and time-sensitive vehicle-specific control instructions comprise control instructions for speed, spacing, lane designation, vehicle following, lane changing, and/or route guidance. Specifically, through the system, CAVs can be effectively and efficiently controlled by the AVIC system.

Abstract: A touch display device is provided. At least one touch electrode includes a first part corresponding to each of at least one additional function area and a second part corresponding to a normal display area. Length and width of at least one trace of a connecting part between each adjacent two of touch sensing parts in the first part are increased to reduce capacitance difference between the first part and the second part. Areas without any pixel unit in each of the at least one additional function area form light transmissive areas, respectively. Thus, a transmission percentage is increased. Touch and display functions of each of at least one additional function area are ensured to be normal, and the transmission percentage is increased at the same time.

Abstract: The invention provides an autonomous vehicle (AV) system with an artificial intelligence (AI) system for automated vehicle control and traffic operations. This AI system comprises a computation component configured to provide sensing, behavior prediction and management, decision making, and vehicle control for the vehicle. This AI system is configured to receive local knowledge, information, data, and models from a roadside unit (RSU) or a cloud to improve performance and efficiency of the vehicle. The AI system is configured to train models with heuristic parameters obtained from a local traffic control center/traffic control unit (TCC/TCU) or the cloud to provide an improved model. The AI system is configured to provide intelligence coordination to distribute intelligence among vehicles, RSUs and cloud. The system also provides localized self-evolving artificial intelligence.

Abstract: The present disclosure provides a system for MRI. The system may obtain a plurality of auxiliary signals and a plurality of imaging signals collected by applying an MRI pulse sequence simultaneously to a plurality of slice locations of a subject. For each of at least one target slice location of the plurality of slice locations, the system may generate at least one target image of the target slice location based on the plurality of auxiliary signals and the plurality of imaging signals. During the application of the MRI pulse sequence, phase modulation may be applied to at least one of the plurality of slice locations so that the plurality of slice locations have different phases during the readout of at least one of the plurality of imaging signals.

Abstract: Provided herein is technology relating to intelligent transportation systems and automated vehicles and particularly, but not exclusively, to function allocation systems and methods for a connected automated vehicle highway system that provides transportation management and operations and vehicle control for connected and automated vehicles.

Abstract: A touch display device is provided. At least one touch electrode includes a first part corresponding to each of at least one additional function area and a second part corresponding to a normal display area. Length and width of at least one trace of a connecting part between each adjacent two of touch sensing parts in the first part are increased to reduce capacitance difference between the first part and the second part. Areas without any pixel unit in each of the at least one additional function area form light transmissive areas, respectively. Thus, a transmission percentage is increased. Touch and display functions of each of at least one additional function area are ensured to be normal, and the transmission percentage is increased at the same time.

Abstract: A method for SMS imaging may include obtaining target k-space data related to a region of interest (ROI) of an object. The method may also include generate, based on the target k-space data using a trained reconstruction model, a plurality of target images each of which corresponds to one of a plurality of target slices of the ROI at one of a plurality of target acquisition periods.

Abstract: Provided herein is technology relating to connected and automated highway systems and particularly, but not exclusively, to systems and methods for providing localized self-evolving artificial intelligence for intelligent road infrastructure systems.

Abstract: A system for MRI is provided. The system may obtain a plurality of sets of under-sampled k-space data corresponding to a plurality of frames. Each set of under-sampled k-space data may be acquired simultaneously from a plurality of slice locations of a subject in one of the frames using an MRI scanner. The system may reconstruct a plurality of reference slice images based on the sets of under-sampled k-space data of the plurality of frames. Each of the reference slice images may be representative of one of the slice locations in more than one frame of the frames. The system may further reconstruct a plurality of image series based on the sets of under-sampled k-space data and the reference slice images. Each image series may correspond to one of the slice locations and include a plurality of slice images of the corresponding slice location in the plurality of frames.

Abstract: The present disclosure provides a system for MRI. The system may obtain a plurality of auxiliary signals and a plurality of imaging signals collected by applying an MRI pulse sequence simultaneously to a plurality of slice locations of a subject. For each of at least one target slice location of the plurality of slice locations, the system may generate at least one target image of the target slice location based on the plurality of auxiliary signals and the plurality of imaging signals. During the application of the MRI pulse sequence, phase modulation may be applied to at least one of the plurality of slice locations so that the plurality of slice locations have different phases during the readout of at least one of the plurality of imaging signals.

Abstract: A system for MRI is provided. The system may obtain a plurality of sets of under-sampled k-space data corresponding to a plurality of frames. Each set of under-sampled k-space data may be acquired simultaneously from a plurality of slice locations of a subject in one of the frames using an MRI scanner. The system may reconstruct a plurality of reference slice images based on the sets of under-sampled k-space data of the plurality of frames. Each of the reference slice images may be representative of one of the slice locations in more than one frame of the frames. The system may further reconstruct a plurality of image series based on the sets of under-sampled k-space data and the reference slice images. Each image series may correspond to one of the slice locations and include a plurality of slice images of the corresponding slice location in the plurality of frames.

Abstract: A hydro-photovoltaic complementary operation chart application method for a clean energy base includes: divide a hydro-photovoltaic complementary operation chart into two sub-operation charts by runoff probability and critical probability; predict runoff and predicted photovoltaic output during the operation cycle, select the sub-operation chart by the runoff probability, determine hydropower output of a reservoir in the current month according to water level of the reservoir at the beginning of the current month and the operation area, and obtain the water level of the reservoir at the end of the current month through the runoff calculation; obtain long-term hydropower output process and reservoir level process in the clean energy base until the hydropower output and water level of the reservoir in all months of the operation cycle are calculated, and calculate hydropower generation probability to complete operation.

Abstract: Provided herein is a technology for an autonomous vehicle cloud system (AVCS). The AVCS provides sensing, prediction, decision-making, and/or control instructions for specific vehicles at a microscopic level using data from one or more of other vehicles, a roadside unit, cloud-based platform, or traffic control center/traffic control unit. Specifically, the autonomous vehicles are effectively and efficiently operated and controlled by the AVCS. The AVCS provides individual vehicles with detailed time-sensitive control instructions for vehicles to fulfill driving tasks. The AVCS is configured to predict individual vehicle behavior and provide planning and decision-making at a microscopic level to improve AV operations. In addition, the AVCS is configured to provide one or more of virtual traffic light management, travel demand assignment, traffic state estimation, and platoon control.

Abstract: The present disclosure provides a system for SMS MRI. During each of a plurality of frames, the system may cause an MRI scanner to apply a plurality of PE steps to each of a plurality of slice locations of a subject to acquire echo signals. A phase modulation magnetic field gradient may be applied during each of at least some of the PE steps in the frame. For each frame, the system may reconstruct an aliasing image representative of the slice locations in the frame based on the corresponding echo signals. The system may also generate a plurality of reference slice images based on the aliasing images. The system may further reconstruct at least one slice image based on the aliasing images and the reference slice images. Each of the slice image may be representative of one of the slice locations in one of the frames.

Abstract: A touch display device is provided. At least one touch electrode includes a first part corresponding to each of at least one additional function area and a second part corresponding to a normal display area. Length and width of at least one trace of a connecting part between each adjacent two of touch sensing parts in the first part are increased to reduce capacitance difference between the first part and the second part. Areas without any pixel unit in each of the at least one additional function area form light transmissive areas, respectively. Thus, a transmission percentage is increased. Touch and display functions of each of at least one additional function area are ensured to be normal, and the transmission percentage is increased at the same time.