
Momenta感知算法实习生
实习兼职地点:北京 | 苏州 | 上海 | 广州 | 深圳状态:招聘
包括英文材料
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文,免费,零起点,完整示例,基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
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/
自动驾驶+
https://www.youtube.com/watch?v=_q4WUxgwDeg&list=PL05umP7R6ij321zzKXK6XCQXAaaYjQbzr
Lecture: Self-Driving Cars (Prof. Andreas Geiger, University of Tübingen)
https://www.youtube.com/watch?v=NkI9ia2cLhc&list=PLB0Tybl0UNfYoJE7ZwsBQoDIG4YN9ptyY
You will learn to make a self-driving car simulation by implementing every component one by one. I will teach you how to implement the car driving mechanics, how to define the environment, how to simulate some sensors, how to detect collisions and how to make the car control itself using a neural network.
相关职位
实习
1. 负责自动驾驶业务场景下的感知算法研发,调研跟进前沿算法,辅助业务落地,包括但不限于: a)激光雷达3D多任务感知,如3D Object Detection,3D Semantic Segmentation, 3D Occupancy Flow Prediction, EndToEnd, World Model等; b)BEV视觉感知和前融合算法,如BEVDet,BEVFusion,Occupancy Network等; c)感知全链路研发,如跟踪,多传感器融合等; 2. 负责自动驾驶数据算法研发,助力数据自动化生产和4D真值构建,包括单不限于: a) SLAM/SFM算法研发; b) 基于Deep Learning的MonoDepth/Multi-View Stereo算法研发; c)NerF相关算法研发; d)大模型AIGC、LMM、NerF、3D Gaussian生成等技术研发; 3. 将相关结果总结沉淀,发表高水平论文 。
更新于 2025-05-07

实习算法研究
1. 设计、开发和优化自动驾驶系统中的静态元素BEV感知算法(包括车道线检测、停止线、地面箭头、车位等元素); 2. 参与大规模自动驾驶数据集的处理及管理,进行数据前处理或模型后处理工作; 3. 配合产线相关标注工艺工作,标注工具改进等工作事项。
更新于 2025-06-04