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