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  3. 国产嵌入式软硬件环境下矩阵运算求解与扩展卡尔曼滤波器模块设计
OpenAtomNLPIntermediateRegistration unverified

国产嵌入式软硬件环境下矩阵运算求解与扩展卡尔曼滤波器模块设计

A intermediate nlp competition requiring roughly 12–40 hours for an end-to-end practice run.

Difficulty
Intermediate
Estimated effort
12–40 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

适合已有C语言嵌入式开发基础,并能处理矩阵运算与状态空间模型的开发者或小队。尤其适合做过定点化、低主频平台性能优化,或了解扩展卡尔曼滤波与在线优化控制的人;参赛可个人或最多5人组队,但须以个人名义参赛。

Read the original official blurb
“国产嵌入式软硬件环境下矩阵运算求解与扩展卡尔曼滤波器模块设计”赛题为实战竞技赛,属能源电力工业软件领域赛题,要求参赛选手/队伍在类似C语言环境下,结合国产嵌入式平台的硬件特性(如定点运算、低主频),通过模型降阶、矩阵运算优化(如稀疏化、定点化)等方法,完成基于状态空间方程建模与矩阵运算求解与扩展卡尔曼滤波器模块设计 Official category: 实战竞技赛. Organizers: 国电南京自动化股份有限公司. Competition code: 2025OAC065. Participants: 5.

Preparation

From registration to a first submission

  1. 01

    C语言嵌入式开发

  2. 02

    定点数运算

  3. 03

    矩阵算法优化

  4. 04

    扩展卡尔曼滤波

  5. 05

    状态空间建模

  6. 06

    嵌入式性能分析

Before you commit: 难点是把完整的矩阵功能包和扩展卡尔曼滤波/在线滚动优化控制真正部署到指定嵌入式平台,同时满足严格实时性。除功能实现外,还要自行优化稀疏化、定点化或模型降阶,并控制开源算法引用比例;决赛中性能未达要求或引用率超限均不得获奖。

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
OpenAtom
Last checked
Oct 11, 2025

Entry assessment

est.
48

Prepare before joining

Overall fit estimate

Beginner fit48/100
Learning value60/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

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Source page verifiedMetric confirmedReviewed
Source published
Oct 11, 2025
Source created
Oct 11, 2025
Published on this site
Jul 21, 2026

Official metric is not published on the OpenAtom competition listing; verify scoring on the competition page.

reward_value_usd is a rough CNY→USD estimate (×0.14) for ranking only; use reward_summary for the official prize text.