AD_study

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Study notes in Chinese based on Self-Driving Cars (Prof. Andreas Geiger, University of Tübingen)

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# AD_study
 Study notes in Chinese based on Self-Driving Cars (Prof. Andreas Geiger, University of Tübingen)

## Quick Access

- Offical Documents
  - [PPT slides](https://github.com/Alexbeast-CN/AD_study/tree/main/Offical_docs/lecture_slides)
  - [exercise 0](https://github.com/Alexbeast-CN/AD_study/tree/main/Offical_docs/ex_00_introduction/ex_00_introduction)
  - [exercise 1](https://github.com/Alexbeast-CN/AD_study/tree/main/Offical_docs/ex_01_imitation_learning/ex_01_imitation_learning)
  - [exercise 2](https://github.com/Alexbeast-CN/AD_study/tree/main/Offical_docs/ex_02_deep_learning)
  - [exercise 3](https://github.com/Alexbeast-CN/AD_study/tree/main/Offical_docs/ex_03_reinforcement_learning)
  - [exercise 4](https://github.com/Alexbeast-CN/AD_study/tree/main/Offical_docs/ex_04)
  - [exercise 5](https://github.com/Alexbeast-CN/AD_study/tree/main/Offical_docs/ex_05_modular_pipeline)
  - [exercise 6](https://github.com/Alexbeast-CN/AD_study/tree/main/Offical_docs/ex_06_vehicle_control)

- My notes in Chinese
  - [AD0. 自动驾驶学习资料汇总](https://github.com/Alexbeast-CN/AD_study/blob/main/Notes/lec0/lec0.md)
  - [AD1. 自动驾驶的简介和历史](https://github.com/Alexbeast-CN/AD_study/blob/main/Notes/lec1/lec1.md)
  - [AD2. 模仿学习(Imitation Learning)](https://github.com/Alexbeast-CN/AD_study/blob/main/Notes/lec2/lec2.md)
  - [AD3. 直接感知 (Direct Perception)](https://github.com/Alexbeast-CN/AD_study/blob/main/Notes/lec3/lec3.md)
  - [AD4. 感知模块 - 目标检测](https://github.com/Alexbeast-CN/AD_study/blob/main/Notes/lec4/lec4.md)
- Practice notes
  - [ADP0. Carla 初体验](https://github.com/Alexbeast-CN/AD_study/blob/main/Notes/ADP0/notes.md)
  - [ADP1. Carla 排行榜参赛程序梳理](https://github.com/Alexbeast-CN/AD_study/blob/main/Notes/ADP1-new/Mindmap/AD_evaluaion_program.md)
  - [ADP1. 自动驾驶模仿学习练习(未完成)](https://github.com/Alexbeast-CN/AD_study/blob/main/Notes/ADP1/notes.md)
  - [ADP2. 自动驾驶数据集](https://github.com/Alexbeast-CN/AD_study/blob/main/Notes/ADP2/notes.md)

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