Abstract: This technology provides several methods for operating an Autonomous Vehicle Intelligent Control System that integrates a sensing module for collecting driving environment data and an onboard unit (OBU) for vehicle control. The OBU features a vehicle control module and communication modules for guidance-level interaction with Traffic Control Centers/Traffic Control Units (TCC/TCU). The system receives targeted guidance instructions and information, such as vehicle maneuvering, safety maintenance, traffic control, and special conditions, to enhance driving tasks. The system also incorporates weather or special information in vehicle operation or control. The OBU receives vehicle-specific targeted weather information and/or special information from the TCC/TCU. The special information comprises activity, accidents, and hazards/obstacles information.

Abstract: Provided herein is technology relating to a distributed driving system with the support of an intelligent roadside toolbox (IRT) to address long-tail cases. The IRT comprises a cloud and provides fused data from multiple sensors and data sources. A connected automated vehicle (CAV) uses the fused data to supplement its sensing data and maintain its automation level when its components have failure. Moreover, the IRT predicts the movement and behavior of surrounding objects, pedestrians, and bicycles; and provides such vulnerable road user information to the CAV to help the CAV maintain its safe driving and desired autonomous driving level in complex urban environments. For emergency situations or function failure, the IRT provides emergency services and failure safety measures for the CAV.

Abstract: This technology relates to autonomous vehicle (AV) control systems tailored for critical points with information support from a cloud platform or other vehicles. A first system integrates an onboard unit (OBU) and communication modules to interact with a cloud platform, delivering time-sensitive instructions to vehicles at critical points. The OBUs execute these instructions for driving tasks. A second system enables an AV to operate through critical points with information from other vehicles, leveraging integrated information services for enhanced functionality and safety. A third system combines an OBU with a cloud platform, leveraging cloud services for enhanced functionality, such as computing. The technology adapts to diverse critical point scenarios, employing proactive incident prediction and rapid detection methods for optimized performance.

Abstract: A semiconductor light-emitting structure includes a semiconductor substrate layer, a first limiting layer, a first waveguide layer, an active layer, a second waveguide layer, and a second limiting layer stacked in sequence. The active layer comprises a first superlattice active layer and a second superlattice active layer stacked in sequence, and the second superlattice active layer is located on a side of the first superlattice active layer away from the first waveguide layer. The semiconductor light-emitting structure further includes an insertion layer disposed between the second superlattice active layer and the first superlattice active layer. A refractive index of the insertion layer is less than an effective refractive index of the first superlattice active layer and less than an effective refractive index of the second superlattice active layer.

Abstract: This technology provides an Autonomous Vehicle (AV) Control System that includes a sensing module for gathering driving environment data and an onboard unit (OBU) for vehicle control. The OBU fuses data from the vehicle and data from a Traffic Control Center/Traffic Control Unit (TCC/TCU), a Roadside Unit (RSU), or another vehicle. The OBU comprises a vehicle control module and communication modules for information exchange with TCC/TCU, RSU, or another vehicle. The AV control system receives targeted guidance instructions and information, such as vehicle maneuvering, safety maintenance, traffic control, and special conditions, to enhance driving tasks. The AV control system collaborates with TCC/TCU, RSU, or another AV, which provides redundancy and a fail-safe mechanism for increased safety and reliability. The system is designed with wireless communication capabilities for efficient information exchange and is applicable to autonomous vehicles (AVs).

Abstract: Provided herein is technology relating to automated driving, particularly, but not exclusively, to an enterprise active safety system (EASS) that is configured to improve safety or minimize losses from safety events. More specifically, the EASS is configured to provide system-based safety functions by integrating one or more of the vehicle components, road components, cloud components, pedestrian components, and map components. These safety functions include one or more of crash detection, crash prediction, crash warning, crash avoidance, crash impact reduction, and emergency response functions.

Abstract: The technology provides designs and methods for the transit management system, which facilitates transit vehicle operations and control for connected automated transit vehicles (CATVs) systems. The transit management system provides transit vehicles with customized/non-customized information and time-sensitive control instructions for transit vehicle to fulfill the driving tasks such as vehicle routing, lane changing, turning. The transit management system also realizes transit vehicle lane design, transportation operations and management services for transit vehicle. The transit management system 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), (5) Cloud platform.

Abstract: This invention provides an Autonomous Vehicle (AV) Control System comprising a sensing module for gathering driving environment data and an onboard unit (OBU) for vehicle control. The OBU comprises a vehicle control module and communication modules for information exchange with a Traffic Control Center/Traffic Control Unit (TCC/TCU) or Roadside Units (RSUs). The AV Control System receives targeted guidance instructions and information, such as vehicle maneuvering, safety maintenance, traffic control, and special conditions, to enhance driving tasks. The AV Control System collaborates with a TCC/TCU or RSUs, providing redundancy and a fail-safe mechanism for increased safety and reliability. The system is designed with wireless communication capabilities for efficient information exchange and is applicable to autonomous vehicles (AVs).

Abstract: This invention presents an automated driving system with distributed computing (ADS-DC). During the operation of a connected automated vehicle (CAV), some or all of its automated driving capabilities for sensing, prediction, planning, decision-making, or control may be downgraded due to long-tail events or malfunctions. The intelligent roadside toolbox (IRT) functions as an edge server or a cloud, and can supplement CAV's sensing functions, prediction and management functions, planning and decision-making functions, and vehicle control functions by providing customized, on-demand, and dynamic computing resources and functions to the CAV. In addition, the IRT computing functions provide the computation support for sensing, prediction, planning, decision-making, and/or control functions of said CAV. Namely, the IRT functions as an edge server or a cloud to provide processing, training or optimization of CAV driving models as well as facilitate the implementation of the driving models in the CAV.

Abstract: The present disclosure discloses a control circuit and a control method for a multiphase power supply and the multiphase power supply. The control circuit includes a current reference signal generator and a controller. The current reference signal generator is configured to adjust a first compensation signal according to a first scaling factor and a first voltage signal, so that the first compensation signal follows the first voltage signal in a steady state, and a current reference signal is obtained according to the first compensation signal and the first voltage signal. The controller is configured to obtain a control signal for each phase power conversion circuit according to the current reference signal to control each phase power conversion circuit to provide a power output to a load. The present disclosure can improve a phase-conversion stability of the multiphase power supply, and can achieve fast and accurate control of the multiphase power supply.

Abstract: A composition is disclosed, which comprises (A) an organohydrogensiloxane having cyclic siloxane moieties including silicon-bonded hydrogen atoms. The composition further comprises (B) a polyether compound having an aliphatically unsaturated group. Finally, the composition comprises (C) a hydrosilylation catalyst. A silicone polyether surfactant prepared by reacting components (A) and (B) in the presence of component (C) is also disclosed. In addition, an isocyanate-reactive component comprising a polyol and the silicone polyether surfactant is disclosed. A composition comprising the isocyanate-reactive component, an isocyanate component comprising a polyisocyanate, and a catalyst is further disclosed. Finally, a method of preparing an article comprising a polyurethane and/or polyisocyanurate foam, and an article formed from the composition and/or the method, are disclosed.

Abstract: A motor controller, a distributed powertrain, and a vehicle. The motor controller is configured to receive electric power supplied by a power battery and output an alternating current to a drive motor to drive the drive motor. The motor controller is configured to receive, by using a disconnection protection apparatus, electric power supplied by a direct current bus, and the direct current bus is configured to receive, by using a first switch, electric power supplied by the power battery. When the motor controller is faulty, the disconnection protection apparatus is configured to disconnect the direct current bus from the motor controller. When the motor controller is faulty, the disconnection protection apparatus is disconnected, so that fault spreading can be prevented when the motor controller is faulty, and normal operating of another electric drive system can be ensured.

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 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 technology relates to autonomous vehicle (AV) control systems tailored for critical points of a partially instrumented infrastructure. The first system integrates an onboard unit (OBU) and communication modules to interact with roadside units (RSUs) or a cloud platform, delivering time-sensitive control instructions to vehicles at critical points. The OBUs execute these instructions for driving tasks. The second system combines an OBU with a cloud platform, leveraging cloud services for enhanced functionality like storage and computing. It adapts to diverse critical point scenarios, employing proactive incident prediction and rapid detection methods for optimized performance.

Abstract: Provided herein is technology relating to roadway design and traffic control systems and methods for connected and automated vehicle and highway (CAVH) systems, and particularly, but not exclusively, to systems and methods for controlling switching of vehicles between automated mode and human-driven mode, systems and methods for vehicle merging, diverging, and overtaking on automated lanes of multiple lane highways, systems and methods for emergency management and roadside assistance on automated lanes, and/or systems and methods for managing automated vehicle lanes on urban major and minor expressways.

Abstract: This technology provides an Autonomous Vehicle (AV) Intelligent Driving System (IDS) that uses weather information or special information to provide vehicle operation or control. The Onboard Unit (OBU) uses a traffic control center/traffic control unit (TCC/TCU) communication module or a roadside unit (RSU) communication module to receive vehicle-specific targeted weather information and/or special information at the Guidance Level of vehicle driving tasks from the TCC/TCU or the RSU. The special information comprises activity, accidents, and hazards/obstacles information. The vehicle control module enhances driving safety by integrating vehicle-specific weather, pavement condition, activity, accidents, and hazards/obstacles information.

Abstract: Embodiments of the present disclosure relate to a topic pushing processing method and apparatus, and a device and a medium. The method comprises: in response to obtaining a topic pushing request sent by a client, determining, from a current push topic pool, a plurality of reference push topics matching client feature information; according to a ranking score corresponding to each reference push topic, determining at least one target push topic from the plurality of reference push topics, and sending the at least one target push topic to the client corresponding to the topic pushing request, so that the client corresponding to the topic pushing request is controlled to display a push page of the clicked target push topic pre-constructed with a link, wherein the push page comprises associated push information of the clicked target push topic.

Abstract: This technology provides an Autonomous Vehicle (AV) Intelligent Driving System (IDS) that includes a sensing module for gathering driving environment data and an onboard unit (OBU) for vehicle control. The OBU features a vehicle control module and communication modules for guidance-level interaction with Traffic Control Centers (TCC/TCU) and Roadside Units (RSUs). The system receives targeted guidance instructions and information, such as vehicle maneuvering, safety maintenance, traffic control, and special conditions, to enhance driving tasks. The IDS collaborates with TCC/TCU and RSUs, providing redundancy and a fail-safe mechanism for increased safety and reliability. The system is designed with wireless communication capabilities for efficient information exchange and is applicable to connected and automated vehicles (CAVs).

Abstract: A saliency map of an image is generated. Saliency regions of the saliency map are identified. The saliency regions are merged into a combined saliency region. Candidate image crops of the image are generated based on the combined saliency region. An image crop of the image is selected from the candidate image crops using a machine learning model.