Tavondo
HomeCompetitionsQuizGuidesPlatforms

No matching competitions

Try a platform, topic, or competition title

中文
HomeCompetitionsQuizGuidesPlatforms
中文RegisterSign in
Tavondo

Find AI contests that fit you—quiz, recommendations, catalog, and guides in one place.

Discover

CompetitionsQuizGuidesPlatforms

Account

Sign inRegisterSkill quiz

© 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

Competition workspace

OpenAtomGeneral MLIntermediateRegistration unverifiedRegistration unverified

基于整车点云的风阻系数智能预测模型开发

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。

Open official pageSign in to saveOpen guide

Suggested next step

Decide whether this contest fits your current stage before you sink time into the leaderboard.

Beginner score

48/100

Higher means a safer real starting point for your current stage.

Learning value

60/100

Measures whether the competition teaches habits you can transfer elsewhere.

Estimated effort

12-40 hours

Use this to check whether the task fits your current time budget.

Metric

Official scoring is published on the Op…

If you cannot explain this metric clearly yet, you probably still need a bit of prep.

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。

Official blurb (unedited)
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.

Prep before joining

If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.

三维点云处理

点云特征提取

深度学习建模

回归模型训练

汽车空气动力学基础

Git 代码仓库管理

Where the real difficulty shows up

The real friction is usually not library usage. It is validation, time allocation, and task framing.

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。

Read this first

This guide is the best pre-read if you want a cleaner start instead of trial-and-error.

How to learn feature engineering, validation, and competition workflow without heavy hardware.

No GPU? Pick Competitions That Still Teach You Good Habits

Your decision

Use these fields to make a quick decision before you dive deeper.

Status
Registration unverified
Registration
Registration unverified
Eligibility
18+
Reward
¥60万
Compute
CPU only
Official metric
Official scoring is published on the OpenAtom competition page.
Verification
Source page verified

Registration is unverified; confirm availability on the official page before investing.

Save to account

Sign in to save competitions and build your own shortlist.

Sign in to saveCreate account

Official source

Rules, files, submission details, and the live deadline still come from the official page.

Open official page

Related competitions

These competitions share a similar domain or difficulty level.

Kaggle

General ML

The Pokémon Company - PTCG AI Battle Challenge Simulation

7d to register · Aug 9, 2026

ModelScope

General ML

AI+♾️开发者创作大赛

8d to register · Aug 10, 2026

ModelScope

General ML

小有可为AI向善创新挑战赛

11d to register · Aug 13, 2026

Tianchi

General ML

Q力星期四·小鹏 AI 出行服务编排 Agent挑战赛

11d to register · Aug 13, 2026

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win — report anything that looks wrong.

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.