Abstract: The present disclosure relates to a decoding method, apparatus and computer-readable storage medium, which relates to the field of computer technology. The method of the present disclosure includes buffering one or more stream segments of a data stream which are received, wherein the data stream comprises an audio stream; parsing the one or more stream segments buffered until header information is obtained through the parsing; storing the header information; and decoding stream segments of the audio stream among various stream segments received according to the header information until the audio stream is completely decoded.

Abstract: This invention provides a system-oriented and fully-controlled connected automated vehicle highway system for various levels of connected and automated vehicles and highways. The system comprises one or more of: 1) a hierarchical traffic control network of Traffic Control Centers (TCC's), local traffic controller units (TCUs), 2) A RSU (Road Side Unit) network (with integrated functionalities of vehicle sensors, I2V communication to deliver control instructions), 3) OBU (On-Board Unit with sensor and V2I communication units) network embedded in connected and automated vehicles, and 4) wireless communication and security system with local and global connectivity. This system provides a safer, more reliable and more cost-effective solution by redistributing vehicle driving tasks to the hierarchical traffic control network and RSU network.

Abstract: This invention provides a system-oriented and fully-controlled connected automated vehicle highway system for various levels of connected and automated vehicles and highways. The system comprises one or more of: 1) a hierarchical traffic control network of Traffic Control Centers (TCC's), local traffic controller units (TCUs), 2) A RSU (Road Side Unit) network (with integrated functionalities of vehicle sensors, I2V communication to deliver control instructions), 3) OBU (On-Board Unit with sensor and V2I communication units) network embedded in connected and automated vehicles, and 4) wireless communication and security system with local and global connectivity. This system provides a safer, more reliable and more cost-effective solution by redistributing vehicle driving tasks to the hierarchical traffic control network and RSU network.

Abstract: Provided herein is a technology for an Autonomous Vehicle Intelligent System (AVIS), which facilitates vehicle operations and control for connected automated vehicle highway (CAVH) systems. The AVIS and related methods provide vehicles with vehicle-specific information for a vehicle to perform driving tasks such as car following, lane changing, and route guidance. The AVIS comprises: (1) a communication module communicating with one or more of: (a) other autonomous vehicles (AV), (b) a roadside unit (RSU), (c) a cloud platform, or (d) a traffic control center/traffic control unit (TCC/TCU); and (2) an onboard unit (OBU) of an AV. The AVIS implements one or more of the following functions: sensing, prediction, decision-making, and vehicle control using onboard information and vehicle-specific information received from other AVs, the RSU, the cloud platform, and/or the TCC/TCU.

Abstract: The invention provides systems and methods for an Intelligent Road Infrastructure System (IRIS), which facilitates vehicle operations and control for connected automated vehicle highway (CAVH) systems. IRIS systems and methods provide vehicles with individually customized information and real-time control instructions for vehicle to fulfill the driving tasks such as car following, lane changing, and route guidance. IRIS systems and methods also manage transportation operations and management services for both freeways and urban arterials. In some embodiments, the IRIS comprises or consists of one of more of the following physical subsystems: (1) Roadside unit (RSU) network, (2) Traffic Control Unit (TCU) and Traffic Control Center (TCC) network, (3) vehicle onboard unit (OBU), (4) traffic operations centers (TOCs), and (5) cloud information and computing services.

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 invention provides systems and methods for an Intelligent Road Infrastructure System (IRIS), which facilitates vehicle operations and control for connected automated vehicle highway (CAVH) systems. IRIS systems and methods provide vehicles with individually customized information and real-time control instructions for vehicle to fulfill the driving tasks such as car following, lane changing, and route guidance. IRIS systems and methods also manage transportation operations and management services for both freeways and urban arterials. In some embodiments, the IRIS comprises or consists of one of more of the following physical subsystems: (1) Roadside unit (RSU) network, (2) Traffic Control Unit (TCU) and Traffic Control Center (TCC) network, (3) vehicle onboard unit (OBU), (4) traffic operations centers (TOCs), and (5) cloud information and computing services.

Abstract: The present disclosure involves a calculation method and device for intelligent cutting squid white slices, the calculation method being implemented on the device for intelligent cutting squid white slices. The calculation method may be implemented on a calculation device, the calculation device may have at least one processor and at least one storage medium including an instruction set used for intelligent cutting the squid white slices, the calculation method including: reading a laser point cloud data of a three-dimensional (3D) topography of the squid white slices; optimizing the laser point cloud data; extracting an effective area of the squid white slices; determining a cutting zero point; determining a cutting process area; and determining optimization of a cutting point position and a cutting angle. The one or more embodiments provided by the present disclosure may satisfy the needs of large-scale continuous production in factories, reduce labor costs, and improve production efficiency.

Abstract: The present disclosure involves a calculation method and device for intelligent cutting squid white slices, the calculation method being implemented on the device for intelligent cutting squid white slices. The calculation method may be implemented on a calculation device, the calculation device may have at least one processor and at least one storage medium including an instruction set used for intelligent cutting the squid white slices, the calculation method including: reading a laser point cloud data of a three-dimensional (3D) topography of the squid white slices; optimizing the laser point cloud data; extracting an effective area of the squid white slices; determining a cutting zero point; determining a cutting process area; and determining optimization of a cutting point position and a cutting angle. The one or more embodiments provided by the present disclosure may satisfy the needs of large-scale continuous production in factories, reduce labor costs, and improve production efficiency.

Abstract: The present disclosure involves an intelligent method and device for cutting squid white slices, the intelligent method being implemented on the intelligent device for cutting squid white slices. The method may be implemented on a calculating device, the calculating device may have at least one processor and at least one storage medium including an instruction set used for cutting the squid white slices, the method including: reading a laser point cloud data of a three-dimensional (3D) topography of the squid white slices; optimizing the laser point cloud data; extracting an effective area of the squid white slices; determining a cutting zero point; determining a cutting process area; and determining optimization of a cutting point position and a cutting angle. The one or more embodiments provided by the present disclosure may satisfy the needs of large-scale continuous production in factories, reduce labor costs, and improve production efficiency.

Abstract: State data of vehicles in a control area is collected, then time of starting control and selection of controlled vehicles are decided according to a position of a ramp merging vehicle, information is transmitted into a traffic control module by means of a data transmission module, and an artificial intelligence based ramp merging multi-objective control model ensures efficient, safe, and energy-saving operation of overall traffic of a road while completing ramp merging by means of a vehicle traveling track in the cooperative ramp control area.

Abstract: The invention provides systems and methods for an autonomous vehicle (AV) and cloud control system, which comprises an AV control system comprising an onboard unit (OBU), a roadside unit (RSU) network, and a cloud-based platform. This integrated vehicle-road-cloud system provides traffic state estimation, prediction, computing, and control instructions for specific vehicles by the cloud-based platform. The cloud-based platform also provides safety and efficiency measures for vehicle operations and control under adverse weather conditions, and provides security, redundancy, and resiliency measures to improve system reliability. In addition, the RSU network provides high-resolution maps for specific vehicles.

Abstract: The present disclosure involves an intelligent method and device for cutting squid white slices, the intelligent method being implemented on the intelligent device for cutting squid white slices. The method may be implemented on a calculating device, the calculating device may have at least one processor and at least one storage medium including an instruction set used for cutting the squid white slices, the method including: reading a laser point cloud data of a three-dimensional (3D) topography of the squid white slices; optimizing the laser point cloud data; extracting an effective area of the squid white slices; determining a cutting zero point; determining a cutting process area; and determining optimization of a cutting point position and a cutting angle. The one or more embodiments provided by the present disclosure may satisfy the needs of large-scale continuous production in factories, reduce labor costs, and improve production efficiency.

Abstract: The present invention relates to systems and methods that allocate, arrange, and distribute certain types of functions and intelligence, for connected automated vehicle highway (CAVH) systems, to facilitate vehicle operations and controls, to improve the general safety of the whole transportation system, and to ensure the efficiency, intelligence, reliability, and resilience of CAVH systems. The present invention also provides methods to define CAVH system intelligence and its levels, which are based on two dimensions: the vehicle intelligence and infrastructure intelligence.

Abstract: This invention provides a system-oriented and fully-controlled connected automated vehicle highway system for various levels of connected and automated vehicles and highways. The system comprises one or more of: 1) a hierarchical traffic control network of Traffic Control Centers (TCC's), local traffic controller units (TCUs), 2) A RSU (Road Side Unit) network (with integrated functionalities of vehicle sensors, I2V communication to deliver control instructions), 3) OBU (On-Board Unit with sensor and V2I communication units) network embedded in connected and automated vehicles, and 4) wireless communication and security system with local and global connectivity. This system provides a safer, more reliable and more cost-effective solution by redistributing vehicle driving tasks to the hierarchical traffic control network and RSU network.

Abstract: This invention provides a system-oriented and fully-controlled connected automated vehicle highway system for various levels of connected and automated vehicles and highways. The system comprises one or more of: 1) a hierarchical traffic control network of Traffic Control Centers (TCC's), local traffic controller units (TCUs), 2) A RSU (Road Side Unit) network (with integrated functionalities of vehicle sensors, I2V communication to deliver control instructions), 3) OBU (On-Board Unit with sensor and V2I communication units) network embedded in connected and automated vehicles, and 4) wireless communication and security system with local and global connectivity. This system provides a safer, more reliable and more cost-effective solution by redistributing vehicle driving tasks to the hierarchical traffic control network and RSU network.

Abstract: A high-precision control system and method for shipborne cryogenic flash freezing of an aquatic product using liquid nitrogen is described. The system may include a main control system, a display unit, a liquid nitrogen supply system, a valve control unit, an acquisition unit, and a power unit. A flash freezing process is divided into four stages: a precooling stage, a flash freezing stage, a deep freezing stage, and a thermal insulation stage. Different cooling rates and flash freezing times are used for different stages, where a cooling rate is used in the flash freezing stage is the highest, a cooling rate used in the deep freezing stage is next, a cooling rate used in the precooling stage is the lowest, and an ambient temperature in a device is kept stable in the thermal insulation stage.

Abstract: The invention provides systems and methods for an Intelligent Road Infrastructure System (IRIS), which facilitates vehicle operations and control for connected automated vehicle highway (CAVH) systems. IRIS systems and methods provide vehicles with individually customized information and real-time control instructions for vehicle to fulfill the driving tasks such as car following, lane changing, and route guidance. IRIS systems and methods also manage transportation operations and management services for both freeways and urban arterials. In some embodiments, the IRIS comprises or consists of one of more of the following physical subsystems: (1) Roadside unit (RSU) network, (2) Traffic Control Unit (TCU) and Traffic Control Center (TCC) network, (3) vehicle onboard unit (OBU), (4) traffic operations centers (TOCs), and (5) cloud information and computing services.

Abstract: The invention provides systems and methods for an Intelligent Road Infrastructure System (IRIS), which facilitates vehicle operations and control for connected automated vehicle highway (CAVH) systems. IRIS systems and methods provide vehicles with individually customized information and real-time control instructions for vehicle to fulfill the driving tasks such as car following, lane changing, and route guidance. IRIS systems and methods also manage transportation operations and management services for both freeways and urban arterials. In some embodiments, the IRIS comprises or consists of one of more of the following physical subsystems: (1) Roadside unit (RSU) network, (2) Traffic Control Unit (TCU) and Traffic Control Center (TCC) network, (3) vehicle onboard unit (OBU), (4) traffic operations centers (TOCs), and (5) cloud information and computing services.

Abstract: The invention provides systems and methods for an Intelligent Road Infrastructure System (IRIS), which facilitates vehicle operations and control for connected automated vehicle highway (CAVH) systems. IRIS systems and methods provide vehicles with individually customized information and real-time control instructions for vehicle to fulfill the driving tasks such as car following, lane changing, and route guidance. IRIS systems and methods also manage transportation operations and management services for both freeways and urban arterials. In some embodiments, the IRIS comprises or consists of one of more of the following physical subsystems: (1) Roadside unit (RSU) network, (2) Traffic Control Unit (TCU) and Traffic Control Center (TCC) network, (3) vehicle onboard unit (OBU), (4) traffic operations centers (TOCs), and (5) cloud information and computing services.