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公开(公告)号:US12037023B2
公开(公告)日:2024-07-16
申请号:US17328625
申请日:2021-05-24
申请人: CAVH LLC
发明人: Bin Ran , Tianyi Chen , Shuoxuan Dong , Yang Cheng , Mingheng Zhang , Xiaotian Li , Shen Li , Kunsong Shi , Haotian Shi , Yifan Yao , Yanghui Mo , Hongjie Liu , Keshu Wu , Ran Yi
CPC分类号: B60W60/0027 , G08G1/0112 , G08G1/0116 , G08G1/0145 , B60W2556/45 , B60W2756/10
摘要: The technology described herein provides Automated Driving System (ADS) methods and systems for coordinating and/or fusing intelligence and functions between Connected Automated Vehicles (CAV) and ADS infrastructure to provide target levels of automated driving. The technology provides systems and methods for function allocation comprising sensing allocation, prediction and decision-making allocation, and control allocation. The ADS operates across various intelligence levels, identified during vehicle operation. The function allocation system dynamically allocates essential functions based on the intelligence levels of both vehicles and infrastructures, ensuring that ADS achieves a system intelligence that surpasses that of individual components. This methodical function distribution enables ADS to manage both vehicles and infrastructures in a manner that enhances vehicular operations and control. The system further integrates a fusion system to support various ADS functions through data integration from multiple sources, which optimizes the driving tasks performed by CAVs.
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公开(公告)号:US20220332337A1
公开(公告)日:2022-10-20
申请号:US17718443
申请日:2022-04-12
申请人: CAVH LLC
发明人: Bin Ran , Kegang Zhao , Hanchu Li , Mingheng Zhang , Shen Li , Yang Cheng , Zhijun Chen , Jie Ye , Shuoxuan Dong , Haotian Shi
摘要: Provided herein is technology relating to automated driving and particularly, but not exclusively, to a Vehicle Intelligent Unit (VIU) configured to provide vehicle operations and control for Connected Automated Vehicles (CAV) and, more particularly, to a VIU configured to connect with a Collaborative Automated Driving System (CADS) and manage and/or control information exchange between CAV and CADS and manage and/or control CAV lateral and longitudinal movements, including vehicle following, lane changing, and route guidance.
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公开(公告)号:US20240351616A1
公开(公告)日:2024-10-24
申请号:US18762227
申请日:2024-07-02
申请人: CAVH LLC
发明人: Bin Ran , Junwei You , Keshu Wu , Weizhe Tang , Yang Cheng , Yifan Yao , Tianyi Chen , Shuoxuan Dong , Mingheng Zhang , Xiaotian Li , Shen Li , Kunsong Shi , Haotian Shi , Yanghui Mo , Hongjie Liu , Ran Yi
CPC分类号: B60W60/0027 , G08G1/0112 , G08G1/0116 , G08G1/0145 , B60W2556/45 , B60W2756/10
摘要: 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. The fusion system integrates data across these functions to optimize automated driving performance and collaboration between AV and intelligent infrastructure.
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公开(公告)号:US20210394797A1
公开(公告)日:2021-12-23
申请号:US17328625
申请日:2021-05-24
申请人: CAVH LLC
发明人: Bin Ran , Tianyi Chen , Shuoxuan Dong , Yang Cheng , Mingheng Zhang , Xiaotian Li , Shen Li , Kunsong Shi , Haotian Shi , Yifan Yao , Yanghui Mo , Hongjie Liu , Keshu Wu , Ran Yi
摘要: Provided herein is technology relating to automated driving and particularly, but not exclusively, to systems comprising roadside intelligent units (RIU) and infrastructure of specific intelligence levels and related methods for providing and/or supplementing automated driving capabilities of connected and automated vehicles (CAV).
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