Cloud-based function allocation system for distributed driving intelligence

Patent metadata

Field	Value
Publication number	US-2024409114-A1
Application number	US-202418809933-A
Country	US
Kind code	A1
Filing date	Aug 20, 2024
Priority date	Oct 14, 2020
Publication date	Dec 12, 2024
Grant date	—

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. The technology aims to enhance automated driving and ensure driving safety by leveraging function allocation models and algorithms for optimal function distribution between vehicles and the infrastructure.

First claim

We claim:

1 . A function allocation system (FAS), comprising:
a communication module; a data module; and a computing module, wherein said computing module is used to:
analyze a scene according to sensing data;
analyze automated driving function requirements for a number of scenes;
deploy a function allocation method; and
analyze functioning of a connected automated highway (CAH) system and a connected automated vehicle (CAV) system;
wherein said function allocation method determines a function allocation of sensing functions, decision-making functions, and/or control functions; and wherein said FAS is configured to allocate sensing functions, decision-making functions, and/or control functions to a CAV system and to a CAH system according to said function allocation.

2 . The FAS of claim 1 , wherein a connected automated vehicle highway (CAVH) system comprises the CAV system, the CAH system, and the FAS.

3 . The FAS of claim 1 , wherein said FAS allocates sensing functions, decision-making functions, and/or control functions to said CAH system and/or to said CAH system.

4 . The FAS of claim 1 , wherein said FAS is configured to allocate sensing functions, decision-making functions, and/or control functions to said CAV system having a vehicle intelligence level V and to said CAH system having an infrastructure intelligence level I to provide a system intelligence level S for said CAVH system to manage automated driving.

5 . The FAS of claim 1 , wherein said CAH system comprises a sensing module, a decision-making module, a control module, and a communication module.

6 . The FAS of claim 1 , wherein said CAV system comprises a sensing module, a decision-making module, a control module, and a communication module.

7 . The FAS of claim 1 , wherein said function allocation method comprises analyzing a scene; analyzing system functional demands; analyzing system functional restrictions; and determining the function allocation using a function demand-constraint matching algorithm.

8 . The FAS of claim 7 , wherein analyzing a scene comprises dividing a scene A into multiple sub-scenes {A 1 , A 2 , A 3 , A 4 }, wherein A 1 represents road facility characteristics of a road in the scene A; A 2 represents road geometry characteristics of the road in the main scene A; A 3 represents traffic flow characteristics of the road in the scene A; and A 4 represents weather characteristics of the road in the scene A.

9 . The FAS of claim 7 , wherein analyzing system functional demands comprises constructing a required feature set {B n , C w }, wherein B n represents a control level and C w represents a function feature; and constructing a scene requirement feature set S m,n,w ={A m , B n , C w }, wherein A m represents a sub-scene, B n represents said control level, and C w represents said function feature.

10 . The FAS of claim 7 , wherein analyzing system functional restrictions comprises analyzing functional limitations of the CAH system for a sub-scene; constructing a limitation function I m,n,w of the CAH system for said sub-scene; analyzing functional limitations of the CAV system for said sub-scene; and constructing a limitation function V m,n,w of the CAV system for said sub-scene.

11 . The FAS of claim 7 , wherein determining the function allocation using a function demand-constraint matching algorithm comprises:
calculating a function of limitation vectors K A,n,w ; calculating a limitation function of the CAH system for the main scene A, F(I) A,n,w ; calculating a limitation function of the CAV system for main scene A: F(V) A,n,w ; and providing a function allocation to provide automated driving for CAV in the scene A according to:

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Assignees

• Cavh Llc

Inventors

• Ran Bin
• Mao Peipei
• Zhu Jingwen
• Lu Wenqi
• Yi Ziwei
• Li Linheng
• Cheng Yang
• Zheng Yuan
• Wu Keshu
• Xu Linghui
• Chen Tianyi
• Shi Haotian

Classifications

• B60W40/04

  Traffic conditions · CPC title

• B60W2556/45

  External transmission of data to or from the vehicle · CPC title

• H04W4/44

  for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H] · CPC title

• B60W2555/20

  Ambient conditions, e.g. wind or rain · CPC title

• B60W40/06

  Road conditions · CPC title