滴滴2026未来精英-自动驾驶中智能体的行为理解、预测和规划
校招全职自动驾驶地点:北京状态:招聘
任职要求
自动驾驶中的行为预测系统负责对自车周围的其它交通参与者(车辆、摩托车、自行车、行人等)的意图和未来行为进行理解和预判。同时,基于模仿学习和强化学习的行为规划模型,在使得自动驾驶行为更类人方面也展现了很好的潜力。我们的系统以先进的机器学习和深度学习算法为核心,充分利用海量的实际数据。由于复杂环境中其他交通参与者行为的高度不确定性和复杂交互性,自动驾驶中的行为理解、预测和规划仍然是一个极具挑战的问题。其中最为关键的算法和软件设计问题包括:- 应用先进的机器学习和深度学习技术,解决自动驾驶中对其它道路交通参与者的意图和轨迹预测问题。- 研究和发展创新性的深度学习模型,用以实时理解和预测其它交通参与者的行为,并进行交互预测和规划。- 设计和优化基于机器学习方法的在线预测和规划系统,增强系统的实时性和鲁棒性。- 开发和完善模型训练的离线系统,包括数据挖掘、数据处理,特征分析和模型评估及可视化。
工作职责
无
包括英文材料
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.
强化学习+
https://cloud.google.com/discover/what-is-reinforcement-learning?hl=en
Reinforcement learning (RL) is a type of machine learning where an "agent" learns optimal behavior through interaction with its environment.
https://huggingface.co/learn/deep-rl-course/unit0/introduction
This course will teach you about Deep Reinforcement Learning from beginner to expert. It’s completely free and open-source!
https://www.kaggle.com/learn/intro-to-game-ai-and-reinforcement-learning
Build your own video game bots, using classic and cutting-edge algorithms.
机器学习+
https://www.youtube.com/watch?v=0oyDqO8PjIg
Learn about machine learning and AI with this comprehensive 11-hour course from @LunarTech_ai.
https://www.youtube.com/watch?v=i_LwzRVP7bg
Learn Machine Learning in a way that is accessible to absolute beginners.
https://www.youtube.com/watch?v=NWONeJKn6kc
Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.
https://www.youtube.com/watch?v=PcbuKRNtCUc
Learn about all the most important concepts and terms related to machine learning and AI.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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/
数据挖掘+
https://www.youtube.com/watch?v=-bSkREem8dM
Database vs Data Warehouse vs Data Lake
https://www.youtube.com/watch?v=7rs0i-9nOjo
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