vivo控制算法工程师/专家
社招全职5年以上研发类地点:上海 | 杭州 | 深圳状态:招聘
工作描述
主要职责 1. 多传感器融合算法开发: (1)基于 IMU(加速度计、陀螺仪、磁力计) 和 电机编码器 开发高性能姿态融合算法(如 EKF, UKF, ES-EKF 或互补滤波)。 (2)负责 3D 旋转表示(四元数、旋转矩阵、欧拉角)的转换与数学推导,解决万向节死锁和奇异点问题。 (3)探索视觉信息(如光流、SLAM 位姿)与惯性导航的深度融合。 2. 传感器建模与标定: (1)建立精细的传感器误差模型,负责 IMU 的零偏不稳定性(Bias)、比例因子、非正交误差的在线/离线标定。 (2)设计温度补偿算法,解决传感器在不同工作温度下的数据漂移问题。 3. 振动分析与抑制: (1)分析云台系…
登录查看完整工作描述
微信扫码,1秒登录
包括英文材料
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
ElasticSearch+
https://www.youtube.com/watch?v=a4HBKEda_F8
Learn about Elasticsearch with this comprehensive course designed for beginners, featuring both theoretical concepts and hands-on applications using Python (though applicable to any programming language). The course is structured in two parts: first covering essential Elasticsearch fundamentals including index management, document storage, text analysis, pipeline creation, search functionality, and advanced features like semantic search and embeddings; followed by a practical section where you'll build a real-world website using Elasticsearch as a search engine, working with the Astronomy Picture of the Day (APOD) dataset to implement features such as data cleaning pipelines, tokenization, pagination, and aggregations.
SLAM+
https://docs.mrpt.org/reference/latest/tutorial-slam-for-beginners-the-basics.html
[英文] SLAM for Dummies
https://dspace.mit.edu/bitstream/handle/1721.1/119149/16-412j-spring-2005/contents/projects/1aslam_blas_repo.pdf
A Tutorial Approach to Simultaneous Localization and Mapping
https://ouster.com/insights/blog/introduction-to-slam-simultaneous-localization-and-mapping
SLAM is an essential piece in robotics that helps robots to estimate their pose – the position and orientation – on the map while creating the map of the environment to carry out autonomous activities.
[英文] What Is SLAM?
https://www.mathworks.com/discovery/slam.html
How it works, types of SLAM algorithms, and getting started
学历+
还有更多 •••
相关职位

社招5年以上技术类-算法
1. 本科及以上学历,计算机、数学或人工智能相关专业,具备 3 年及以上算法研发经验; 2. 扎实掌握图像处理、机器学习、深度学习(如 Transformer、CNN)及数值优化理论,具备将复杂业务问
更新于 2026-04-07杭州|上海
社招5年以上技术类-算法
1. 本科及以上学历,计算机、数学或人工智能相关专业,具备 3 年及以上算法研发经验; 2. 扎实掌握图像处理、机器学习、深度学习(如 Transformer、CNN)及数值优化理论,具备将复杂业务问
更新于 2026-05-25杭州|上海
实习
专业背景:自动化、机械电子、控制工程、信号处理、机器人等相关专业,硕士及以上学历。 理论功底:精通经典/现代控制理论,对频域分析有深入理解。 工具熟练:熟练掌握 MATLAB/Simulink,具备
更新于 2026-02-14杭州