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self_driving_car_specialization's Introduction

Self-Driving Car Specialization

This repo contains my Coursera Self-Driving Car Specialization' class materials, project results and the key topics of each course.

1. Introduction to Self-Driving Cars

  • Taxonomy of self-driving cars
  • Driving decisions and actions
  • Hardware and software stacks
  • Safety assessment and industry approach
  • Kinematic and dynamic modeling
  • Longitudinal and lateral controller design
  • Control stack on CARLA racetrack

2. State Estimation and Localization for Self-Driving Cars

  • Squared error optimization and Least squares
  • The linear, extended, error-state and unscented kalman filters
  • Pose estimation with GNSS/INS
  • Lidar sensing and point clouds
  • Vehicle state estimator

3. Visual Perception for Self-Driving Cars

  • Basics of 3D computer vision
  • Visual Features
  • Feedforward and CNN
  • 2D object detection
  • Semantic segmentation

4. Motion Planning for Self-Driving Cars

  • Decompose the motion planning problem into a hierarchical structure
  • Static occupancy grids
  • Mission planning on road networks
  • Reactive planning and collision checking
  • Behavioral planning
  • Smooth local planning
  • Motion planning in CARLA simulation

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