Computing power allocation system for autonomous driving

Patent metadata

Field	Value
Publication number	US-2025095480-A1
Application number	US-202418960202-A
Country	US
Kind code	A1
Filing date	Nov 26, 2024
Priority date	May 17, 2017
Publication date	Mar 20, 2025
Grant date	—

Abstract

The invention provides systems and methods for a computing power allocation system for autonomous driving (CPAS-AD), which is a component of an Intelligent Road Infrastructure System (IRIS). The CPAS-AD incorporates advanced computing capabilities that effectively allocate computational power for sensing, prediction, planning, decision-making, and control functions to enable end-to-end driving functions. In addition to the vehicle, the CPAS-AD can acquire additional computation resources from one or more of: (a) a roadside unit (RSU) network, (b) a cloud platform, (c) a traffic control center/traffic control unit (TCC/TCU), and (d) a traffic operations center (TOC). Additionally, tailored to different traffic scenarios, the CPAS-AD can allocate data and computation resources (including but not limited to CPU and GPU) for vehicle sensing, prediction, planning, decision-making, and control functions, thereby enabling safe and efficient autonomous driving.

First claim

We claim:

1 . A Computing Power Allocation System for Autonomous Driving (CPAS-AD), comprising:
an onboard unit (OBU), wherein an autonomous vehicle (AV) comprises said OBU and wherein the OBU comprises: a data collection module configured to collect data from one or more of: a roadside unit (RSU) network, a cloud platform, a traffic control center/traffic control unit (TCC/TCU), a traffic operations center (TOC), the AV, or a second AV to provide collected data; a data allocation module configured to allocate computation resources for data processing and provide a computation resource allocation; and a computation resources module configured to perform data processing.

2 . The CPAS-AD of claim 1 , further comprising a component to provide a high-performance computation capability configured to allocate computation power to provide sensing, prediction, planning and decision making, and control at a microscopic level, a mesoscopic level, and/or a macroscopic level.

3 . The CPAS-AD of claim 1 , wherein the data collection module integrates data from the RSU network, the cloud platform, the TCC/TCU, the TOC, or the second AV with data from the AV.

4 . The CPAS-AD of claim 1 , wherein the data allocation module is configured to divide the collected data into two groups: large parallel data and advanced control data.

5 . The CPAS-AD of claim 4 , wherein the data allocation module is configured to transmit the large parallel data and the advanced control data to the computation resources module for further processing.

6 . The CPAS-AD of claim 1 , wherein the data allocation module is configured to assign processing of the collected data to computation resources according to the computation resource allocation.

7 . The CPAS-AD of claim 6 , wherein the computation resources comprise:
graphic processing units (GPUs) for process large parallel data; and central processing units (CPUs) to process advanced control data.

8 . The CPAS-AD of claim 6 , wherein the AV provides the computation resources.

9 . The CPAS-AD of claim 6 , wherein the computation resources are provided by one or more of the following physical subsystems: the RSU network, the cloud platform, the TCC/TCU, the TOC, or an OBU of the second AV.

10 . The CPAS-AD of claim 6 , wherein the computation resources are used for data processing to provide the prediction, planning, and decision making functionality of the AV.

11 . A Computing Power Allocation System for Autonomous Driving (CPAS-AD), comprising:
an onboard unit (OBU); and one or more of the following physical subsystems: a roadside unit (RSU) network, a cloud platform, a traffic control center/traffic control unit (TCC/TCU), and a traffic operations center (TOC), wherein the physical subsystems are configured to provide an autonomous vehicle (AV) with additional computation resources when required; wherein the OBU comprises: a data collection module that is configured to collect data from one or more of: the RSU network, the cloud platform, the TCC/TCU, the TOC, the AV, or a second AV to provide collected data; a data allocation module that is configured to allocate computation resources for data processing and provide a computation resource allocation; and a computation resources module that is configured to perform data processing.

12 . The CPAS-AD of claim 11 , further comprising a component to provide a high-performance computation capability configured to allocate computation power to provide sensing, prediction, planning and decision making, and control at a microscopic level, a mesoscopic level, and/or a macroscopic level.

13 . The CPAS-AD of claim 11 , wherein the data collection module integrates data from the RSU network, the cloud platform, the TCC/TCU, the TOC, or the second AV with data from the AV.

14 . The CPAS-AD of claim 11 , wherein the data allocation module is configured to divide the collected data into two groups: large parallel data and advanced control data.

15 . The CPAS-AD of claim 14 , wherein the data allocation module is configured to transmit the large parallel data and the advanced control data to the computation resources module for further processing.

16 . The CPAS-AD of claim 11 , wherein the data allocation module is configured to assign processing of the collected data to computation resources according to the computation resource allocation.

17 . The CPAS-AD of claim 16 , wherein the computation resources comprise:
graphic processing units (GPUs) for process large parallel data; and central processing units (CPUs) to process advanced control data.

18 . The CPAS-AD of claim 16 , wherein the AV provides the computation resources.

19 . The CPAS-AD of claim 16 , wherein the computation resources are provided by one or more of the following physical subsystems: the RSU network, the cloud platform, the TCC/TCU, the TOC, or an OBU of the second AV.

20 . The CPAS-AD of claim 16 , wherein the computation resources are used for data processing to provide the prediction, planning, and decision making functionality of the AV.

Assignees

• Cavh Llc

Inventors

• Ran Bin
• Liang Bingjie
• Zhao Yan
• Ma Haozhan
• Wu Renfei
• Cheng Yang
• Yao Yifan
• Wu Keshu
• Chen Tianyi
• Shi Haotian
• Li Shen
• Shi Kunsong
• Zhang Zhen
• Ding Fan
• Tan Huachun
• Wu Yuankai
• Dong Shuoxuan
• Ye Linhui
• Li Xiaotian

Classifications

• G08G1/164

  Centralised systems, e.g. external to vehicles · CPC title

• G08G1/096725

  where the received information generates an automatic action on the vehicle control · CPC title

• G08G1/166

  for active traffic, e.g. moving vehicles, pedestrians, bikes · CPC title

• G08G1/0968

  Systems involving transmission of navigation instructions to the vehicle · CPC title

• G08G1/0145

  for active traffic flow control · CPC title