AI401
AUTONOMOUS VEHICLES I
- Course Code
- AI401
- 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 | No |
| Recommended Optional Programme Components | |
| Course Description | Introduction to autonomous vehicle systems, Vehicle kinematics and dynamics, Sensors for autonomy: LiDAR, radar, ultrasonic, GPS, IMU, cameras, Sensor models and calibration, Sensor fusion and localization techniques, Perception: object detection, semantic segmentation, tracking, ROS (Robot Operating System) fundamentals, Introduction to simulation tools (e.g., Gazebo, CARLA). |
| 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 |