哈啰感知算法实习生（静态要素感知方向）-【自动驾驶】
实习兼职算法地点：上海状态：招聘
任职要求
1、熟悉车道线/路沿等静态要素检测相关算法原理及设计； 2、熟悉主流深度学习算法，包括但不限于目标检测、分割、跟踪、多任务学习、立体视觉等领域，有计算机视觉、模式识别领域顶会，（CVPR/ICCV/ECCV/ICML/NeurIPS）或顶刊（TPAMI/IJCV/T…
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工作职责
1 、负责无人车地面静态要素感知算法研发，包含车道线、路沿等要素检测工作; 2、探索2D/3D检测，以及时序和多传感器融合算法； 3、负责核心算法或模型的原创设计以及工程化落地，如模型优化、模型部署等; 4、掌握通过数据闭环持续迭代模型的能力。
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/
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.
模式识别+
https://www.mathworks.com/discovery/pattern-recognition.html
Pattern recognition is the process of classifying input data into objects, classes, or categories using computer algorithms based on key features or regularities.
https://www.microsoft.com/en-us/research/wp-content/uploads/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science.
CVPR+
https://cvpr.thecvf.com/
ICCV+
https://iccv.thecvf.com/
ICCV is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials.
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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相关职位
实习无人机业务部
1. 参与无人机/机器人感知模型的研发、训练与优化，涉及多传感器融合、目标检测与跟踪、场景理解和物体抓取等方向，并协助开展多模态大模型及端到端感知算法的实验与探索； 2. 参与视觉及多模态模型的训练、微调与评测，协助开展模型部署优化及实验分析，提升模型在低光照、动态干扰和开放场景下的鲁棒性与泛化能力； 3. 参与训练数据体系建设，协助完成数据采集、清洗标注、样本构建、难例挖掘及仿真数据生成等工作，配合分析数据质量及其对模型效果的影响； 4. 推动AI工具在数据处理、模型训练和实验分析等环节的应用，并协同相关团队完成系统集成、联调验证与算法落地。
更新于 2026-07-27深圳|北京
社招算法研究类
工作职责 1、负责4D障碍物等感知算法研究，包括但不限于PVB及通用障碍物模型研发、后处理方案优化等； 2、负责云端感知数据闭环和真值生产等工作内容。
更新于 2025-12-15北京