Overview
Who this competition fits
Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.
Read the original official blurb
SLAM（Simultaneous Localization and Mapping）即同时定位与地图构建，是一种在未知环境中同时进行自主定位和地图构建的技术，在当前无人驾驶、机器人导航、增强现实等领域具有重要应用。在机器人导航和自主驾驶等应用中，建图精度对于系统的稳定性和安全性至关重要。一个高精度的地图可以提供准确的环境信息，帮助机器人避开障碍物、规… Official track: 计算机视觉. Sponsor: 科大讯飞股份有限公司. Teams entered: 375.
Preparation
From registration to a first submission
- 01
Can read Chinese competition pages
- 02
Comfortable submitting a baseline
- 03
Basic computer-vision experience
Before you commit: Task details, eligibility, and scoring rules live mainly on the official iFlytek page and change each season.
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
- iFlytek Challenge
- Last checked
- Aug 17, 2023