Tavondo
CompetitionsEventsGuidesPlatforms
中文Start matching
CompetitionsEventsGuidesPlatforms
中文Sign in
Tavondo

Find AI competitions and events worth your time.

CompetitionsEventsGuidesPlatforms
Sign inRegisterStart matching

© 2026 Tavondo

中文
  1. Home
  2. Competitions
  3. 基于整车点云的风阻系数智能预测模型开发
OpenAtomGeneral MLIntermediateRegistration unverified

基于整车点云的风阻系数智能预测模型开发

A intermediate general ml 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

适合已能处理三维点云并训练回归预测模型的学生、汽车/机械领域工程师或个人开发者。了解汽车空气动力学或CFD会很有帮助,因为任务要从整车几何特征预测风阻系数;页面明确欢迎全球团队和个人参赛。

Read the original official blurb
本赛项聚焦汽车空气动力学,主题为“基于整车点云的风阻系数智能预测模型开发”,旨在通过AI、大数据等技术推动其在汽车空气动力学的应用。要求解决点云数据识别、智能算法选参及建立高精度预测模型等关键问题。 Official category: 实战竞技赛. Organizers: 中国汽车工程研究院股份有限公司. Participants: 5.

Preparation

From registration to a first submission

  1. 01

    三维点云处理

  2. 02

    点云特征提取

  3. 03

    深度学习建模

  4. 04

    回归模型训练

  5. 05

    汽车空气动力学基础

  6. 06

    Git 代码仓库管理

Before you commit: 难点不只是训练一个模型,而是让模型从整车点云中提取可泛化的气动特征,并兼顾预测精度与单车预测速度。参赛还需提交可运行的开源代码、运行方法和展示材料,并通过线上答辩及线下路演评审。

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
Nov 19, 2024

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.

18+

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.

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
Nov 19, 2024
Source created
Nov 19, 2024
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.