| 1. | |
In-vehicle networks | Introduction of the course - Introduction of sensors, actuators, networks, and computing platforms for autonomous cars |  |
| 2. | |
In-vehicle networks I | A basic principle of in-vehicle networks (RS232, CAN and Ethernet) | |
| 3. | |
In-vehicle networks II | Practice 1: communication over RS232, CAN and Ethenet in ROS | |
| 4. | |
Vehicle on-board sensors | A basic principle of on-board sensors (gyro, wheel speed sensors, steering angle sensor, etc.) | |
| 5. | |
GNSS receiver I | A basic principle of GNSS, correction and geo-reference system | |
| 6. | |
GNSS receiver II | Practice 2: drawing GNSS trajectory in ROS Rviz | |
| 7. | |
In-vehicle networks III | Protocol Architecture, Layers | |
| 8. | |
LiDAR I | A basic principle of LiDAR | |
| 9. | |
LiDAR-based | object Detection and Modeling | |
| 10. | |
Camera and Calibration | Cameras in Autonomous Car | |
| 11. | |
Basic Image Processing | Camera Parameters | |
| 12. | |
Lane Detection | Inverse Perapective Transformation | |
대구광역시 동구 동내로 64(동내동 1119) 우)41061
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