AI402
AUTONOMOUS VEHICLES II
- Course Code
- AI402
- Semester
- -
- Theory+Practice
- 3 + 0
- ECTS
- 5
| Course Type | Elective Course |
|---|---|
| Course Level | Bachelor's Degree |
| Year of Study | - |
| Semester | - |
| ECTS | 5 |
| Name of Lecturer(s) | - |
| Learning Outcomes |
At the end of this course, the students; |
| Mode of Delivery | |
| Prerequisites | Yes(AI401) |
| Recommended Optional Programme Components | |
| Course Description | Path planning algorithms (Dijkstra, A*, RRT, etc.), Motion control and trajectory generation, Real-time embedded systems for autonomy, Deep learning and reinforcement learning in autonomous driving, Multi-agent systems and vehicle-to-vehicle (V2V) communication, Safety, redundancy, and ethical challenges, Project-based system integration using ROS and simulators, Capstone project or scenario-based implementation in simulation. |
| Course Contents | |
| Recommended or Required Reading | * Autonomous Driving: How the Driverless Revolution will Change the World, Andreas Herrmann, Walter Brenner, Rupert Stadler * Autonomous Vehicles: Opportunities, Strategies, and Disruptions, Claus Danielson * Robotics, Vision and Control: Fundamental Algorithms in MATLAB, Peter Corke * Planning Algorithms, Author: Steven M. LaValle * Probabilistic Robotics, Sebastian Thrun, Wolfram Burgard, Dieter Fox * Learning ROS for Robotics Programming, Aaron Martinez, Enrique Fernandez |
| Planned Learning Activities and Teaching Methods | |
| Assessment Methods and Criteria | |
| Language of Instruction | - |
| Work Placement(s) | No |