Path planning, concentrations and systems

Path planning

• Search:
  Discrete path planning and solving algorithms (A*).
• Prediction:
  Sensor fusion used to predict other objects behaviour.
• Trajectory generation in C++:
  Project: Path planning

Drive a car down a highway with other cars using one’s own path planner.

Advanced deep learning

• Fully connected convolutional networks
• Scene understanding
• Inference performance
• Project: Semantic segmentation

 

Autonomous vehicle architecture

• Introduction to ROS (Robot operating system):
  Architectural overview of ROS framework and setting up the environment.
• Packages & Catkin workspaces:
  ROS workspaces structure, essential command line tools and software package management
• Writing ROS nodes:
  Python and C++.
• Project: System integration project

Running the code on Carla, Udacity’s autonomous vehicle.

Inaugural class of Udacity Self-driving nanodegree graduation celebration with Sebastian Thrun.