
地平线Lidar OCC / Flow 算法工程师
社招全职算法序列地点:北京 | 上海状态:招聘
任职要求
1、硕士及以上学历,计算机、人工智能、自动化、电子等相关专业。 2、扎实的深度学习、计算机视觉基础,熟悉 PyTorch 等深度学习框架。 3、熟悉以下一个或多个方向: 3D Occupancy / Semantic Occupancy; Occupancy Flow / Scene Flow; BEV 感知及时序建模; 多传感器融合(LiDAR、Camera)。 4、熟悉 CNN、Transformer、时序网络等模型设计,具备模型训练与调优经验。 5、熟悉点云处理及…
登录查看完整任职要求
微信扫码,1秒登录
工作职责
1、负责基于激光雷达的 3D Occupancy、Occupancy Flow 等时空感知算法研发。 2、负责 BEV 表征学习、时序建模、运动预测等核心算法设计与优化,提升环境理解能力。 3、持续优化模型精度、实时性及鲁棒性,支持量产自动驾驶场景落地。 4、负责模型训练、调优、部署及推理加速,完成从算法设计到工程落地的全流程开发。 5、负责 LiDAR OCC 后处理算法 设计与优化,包括 Occupancy 后处理、目标提取、聚类、连通域分析、动态/静态分类、速度估计、时序融合、跟踪关联等,提升感知结果稳定性与可用性。 6、跟踪 Occupancy、Scene Flow、World Model、时空建模等前沿技术,并结合业务持续创新。
包括英文材料
学历+
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.
PyTorch+
https://datawhalechina.github.io/thorough-pytorch/
PyTorch是利用深度学习进行数据科学研究的重要工具,在灵活性、可读性和性能上都具备相当的优势,近年来已成为学术界实现深度学习算法最常用的框架。
https://www.youtube.com/watch?v=V_xro1bcAuA
Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python.
CNN+
https://learnopencv.com/understanding-convolutional-neural-networks-cnn/
Convolutional Neural Network (CNN) forms the basis of computer vision and image processing.
[英文] CNN Explainer
https://poloclub.github.io/cnn-explainer/
Learn Convolutional Neural Network (CNN) in your browser!
https://www.deeplearningbook.org/contents/convnets.html
Convolutional networks(LeCun, 1989), also known as convolutional neuralnetworks, or CNNs, are a specialized kind of neural network for processing data.
https://www.youtube.com/watch?v=2xqkSUhmmXU
MIT Introduction to Deep Learning 6.S191: Lecture 3 Convolutional Neural Networks for Computer Vision
Transformer+
https://huggingface.co/learn/llm-course/en/chapter1/4
Breaking down how Large Language Models work, visualizing how data flows through.
https://poloclub.github.io/transformer-explainer/
An interactive visualization tool showing you how transformer models work in large language models (LLM) like GPT.
https://www.youtube.com/watch?v=wjZofJX0v4M
Breaking down how Large Language Models work, visualizing how data flows through.
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/
还有更多 •••
相关职位
暂无相关职位