无人车基本概念

Xiaoyu
1 min readMay 31, 2018

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可以说是图形学(CV),人工智能(AI)和机器人(Robotics)的一个强应用吧。大概包括这么几方面

Computer Vision and Deep Learning, machine learning Python dominate

  • Lane finding / Advanced lane finding
  • Traffic Sign Classifier
  • Behavioral Cloning (Use Deep Neural Network) to let the car self drive itself
  • Vehicle Detection and Tracking

Maps

  • Localization

AI

  • Path Planning
  • Semantic Segmentation/Functional safety

Robotics, low level C++

  • Sensor fusion
  • Extended Kalman Filter (EKF): Sensor fusion (combining data from multiple noisy sensors) and then applying that knowledge to built an EKF
  • Unscented Kalman Filter (UKF)
  • Kidnapped Vehicle
  • Proportional–integral–derivative (PID) control
  • Model Predictive Control (MPC)

References

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Xiaoyu
Xiaoyu

Written by Xiaoyu

Jack of all trades, master of, well, Computer Science 🤓 My blog: https://blog.baozitraining.org/ My Youtube: https://www.youtube.com/baozitraining

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