운행체 전자실험
- 건국대학교
- 조기춘
페이스북
트위터
카카오톡
네이버밴드
링크복사
-
- 주제분류
- 공학 >기타공학 >시스템공학
-
- 강의학기
- 2019년 1학기
-
- 조회수
- 4,293
-
- 강의계획서
- 강의계획서
Autonomous Car Lab.
Understanding sensors, actuators, networks and computing platforms for Autonomous cars
Learning practical technologies for Autonomous driving with an actual Autonomous Car
Understanding sensors, actuators, networks and computing platforms for Autonomous cars
Learning practical technologies for Autonomous driving with an actual Autonomous Car
- 수강안내 및 수강신청
- ※ 수강확인증 발급을 위해서는 수강신청이 필요합니다
In-vehicle networks
차시별 강의
| 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 | |
연관 자료
