蔚来低速高阶 神经环境建模实习生
实习兼职算法地点：北京 | 上海状态：招聘
任职要求
1. 计算机、自动化、数学、电子和导航定位等相关专业，硕士及以上学历 2. 熟悉SLAM建图及定位算法和框架（包括VO、VIO和LIO等），有具体项目研发经验 3. 熟悉常见的深度学习框架，大语言模型机器人导航应用，有神经建图和定位算法经验 4. 有以下经验者优先： - 有无人代客泊车（AVP）等项目研发经验、或基于大语言模型的无人系统自主导航课题经验优先 - 在人工智能、计算机视觉、机器人顶会或顶级期刊上有论文发表经历的优先（ICCV、CVPR、ECCV、TPAMI、TRO、RSS、ICRA等）
工作职责
1. 负责低速驾驶功能中的大尺度、长时序全局神经环境建模及车端局部环境神经融合算法开发
包括英文材料
学历+
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
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/
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
OpenCV+
https://learnopencv.com/getting-started-with-opencv/
At LearnOpenCV we are on a mission to educate the global workforce in computer vision and AI.
https://opencv.org/university/free-opencv-course/
This free OpenCV course will teach you how to manipulate images and videos, and detect objects and faces, among other exciting topics in just about 3 hours.
ICCV+
https://iccv.thecvf.com/
ICCV is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials.
CVPR+
https://cvpr.thecvf.com/
ECCV+
https://eccv.ecva.net/
ECCV is the official event under the European Computer Vision Association and is biannual on even numbered years.
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