SUMMARY.md

• Home
• Part1: Introduction to Self-Driving Cars
  • Module 0：Welcome to the self-driving cars specialization
  • Module 1：The Requirements for Autonomy
  • Module2：Self-Driving Hardware and Software Architectures
  • Module3：Safety Assurance for Autonomous Vehicles
  • Module4：Vehicle Dynamic Modeling
  • Module 5：Vehicle Longitudinal Control
  • Module 6：Vehicle Lateral Control
  • Module 7：Putting it all together
• Part2：State Estimation and Localization for Self-Driving Cars
  • Module 1：Least Squares
  • Module 2 - State Estimation - Linear and Nonlinear Kalman Filters
  • Module 3 - GNSSINS Sensing for Pose Estimation
  • Module 4 - LIDAR Sensing
  • Module 5 - Putting It together - An Autonomous Vehicle State Estimator
• Part3：Visual Perception for Self-Driving Cars
  • Module 1: Basics of 3D Computer Vision
  • Module 2: Visual Features - Detection, Description and Matching
  • Module 3: Feedforward Neural Networks
  • Module 4: 2D Object Detection
  • Module 5: Semantic Segmentation
  • Module 6: Putting it together - Perception of dynamic objects in the drivable region

• Part4：Motion Planning for Self-Driving Cars
  • Module 1 - The Planning Problem
  • Module 2 - Mapping for Planning
  • Module 3 - Mission Planning in Driving Environments
  • Module 4 - Dynamic Object Interactions
  • Module 5 - Principles of Behaviour Planning
  • Module 6 - Reactive Planning in Static Environments
  • Module 7 - Putting it all together - Smooth Local Planning