Abstract: This disclosure presents a distributed automated driving system for autonomous vehicles operating in long-tail scenarios. These long-tail scenarios comprise adverse weather conditions, adverse road conditions, disaster, and/or a failure of a vehicle component or function. During operation of an autonomous vehicle, some of its automated driving capabilities for sensing, prediction, planning, decision-making, or control may be downgraded due to long-tail events. The intelligent roadside toolbox (IRT) functions as an edge server or a cloud and can supplement the vehicle's sensing, prediction, planning and decision-making, and control functions by providing customized, on demand, and dynamic computing resources and functions to the vehicle. In addition, the IRT computing functions provide computation support for sensing, prediction, planning, decision-making, and/or control functions of the vehicle.

Abstract: This invention presents a function allocation system for an autonomous vehicle (AV). During the operations of the AV, some or all of its automated driving capabilities or functions could be downgraded due to long-tail events or malfunctioning. The roadside intelligent infrastructure, or the cloud platform, could supplement some or all of AV's automated driving functions, including sensing, prediction and decision-making, and/or control functions. The function allocation system dynamically allocates these functions between AV and intelligent infrastructure, achieving a higher system intelligence level S than the downgraded vehicle intelligence level V. In addition, a function allocation system could dynamically allocate sensing, prediction and decision-making, and/or control functions between AV and a cloud platform. This invention also presents a function integration system or a fusion system for an AV.

Abstract: A method for pulse heating a power battery of an electric vehicle and an electric vehicle. A powertrain includes a first power circuit and a second power circuit. The method is used to control the second power circuit or a motor power circuit to generate a pulse alternating current on a direct current bus, and the pulse alternating current is used to heat the power battery. A phase value of a pulse alternating current output by at least one of the first power circuit and the second power circuit is adjusted, to reduce a phase difference between a pulse alternating current generated by the first power circuit and a pulse alternating current generated by the second power circuit, thereby improving heating efficiency of the power battery.

Abstract: A charging circuit of an on-board charger, where a second end of a first power conversion circuit of the charging circuit is coupled to a first end of a second power conversion circuit, a high-voltage output end of the second power conversion circuit charges a power battery pack of an electric vehicle, and a first low-voltage output end of the second power conversion circuit supplies power to a low-voltage system of the electric vehicle. The first power conversion circuit is configured to, when the electric vehicle is in a charging mode, convert an alternating current input from a first end of the first power conversion circuit into a direct current and transmit the direct current to the first end of the second power conversion circuit.

Abstract: A method and aerial vehicle perform illumination invariant image mapping for terrain relative navigation (TRN). Two images of a terrain segment are obtained, each with known sun vectors and different lighting conditions. The first image is matched and registered to the second image. A target third image is obtained under a lighting condition that exceeds a threshold required for matching. A synthetic composite image is synthesized based on the images and sun vectors. The synthetic image is registered to the first and second images. The synthetic image is matched to the target third image. Based on the matching, a TRN solution is derived and used to navigate the aerial vehicle.

Abstract: Disclosed is an operational amplifier circuit and a switching circuit. The operational amplifier circuit comprises a main operational amplifier, which performs operational amplification based on a reference signal and a feedback signal of an output voltage of the switching circuit to obtain an operational amplification signal for controlling a switching state of the switching circuit, and generates an adjustment signal according to the feedback signal, the reference signal, and a preset first voltage. When a load of the switching circuit is reduced, an output terminal of the main operational amplifier receives the adjustment signal and obtains an adjusted operational amplification signal, and the adjustment signal is used for suppressing a change of the operational amplification signal.

Abstract: The present technology relates to systems and methods that allocate, arrange, and distribute certain types of functions and intelligence for autonomous driving systems (ADS) to facilitate vehicle operations and controls; to improve the safety of an autonomous vehicle (AV); and to ensure the efficiency, intelligence, reliability, and resilience of ADS. The present technology also provides methods to define ADS system intelligence and its levels, which are based on two dimensions: the vehicle intelligence and the cloud intelligence. The cloud intelligence supports and complements the vehicle intelligence when a vehicle is impaired or handicapped for certain functions (sensing, prediction, decision, and/or control) during operations in abnormal conditions. Distribution of driving intelligence between the AV and the cloud facilitates safe operations of the AV for long-tail corner cases.

Abstract: This application discloses a resistance detection method and a resistance detection circuit. A test voltage and a reference voltage are obtained, and one of them is set as a value-to-be-compared and the other one is set as a reference value with a fixed value. The test voltage is a voltage value obtained by applying a test current to a unit-under-test, and the reference voltage is a voltage value generated by a reference voltage supply circuit. The value-to-be-compared includes a first boundary value and a second boundary value. The first boundary value and the second boundary value are compared with the reference value respectively to obtain a first comparison result and a second comparison result. A resistance range of a resistance of the unit-under-test is calculated based on the first comparison result and the second comparison result.

Abstract: An Enterprise-Oriented Cloud Control System is disclosed for providing time-sensitive, vehicle-specific guidance and control instructions to autonomous vehicles (AVs) in long-tail corner cases. The system operates through an enterprise-oriented cloud intelligent unit (E-CIU) that integrates service, management, communication, sensing, prediction, planning, control, and support subsystems. Automated driving scenarios are classified by a traffic fence based on demand and supply characteristics. The E-CIU receives multi-source event and non-event data from vehicles, roads, clouds, and centers, offers various “as-a-service” functions, and employs event models to convert macroscopic event data into microscopic operational data. These models generate cooperative sensing, prediction, planning, and control solutions and produce customized, real-time instructions for longitudinal/lateral motion and operational decisions.

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.