This course, "Self Driving Car with Jetson Nano : Lane Tracking , OpenCV,” is one of the best articles to follow for a beginner as it will guide you through designing a self-driving car from the ground up. First, you will learn what Jetson Nano is; you will learn about the basic components used in robotic projects: webcam, motor driver, and PWM driver; and last – you will deal with image processing using Python and OpenCV. The course is structured to take you through the levels systematically, with every lesson having a project that can be created or built.
Throughout the course "Self Driving Car with Jetson Nano : Lane Tracking , OpenCV,” you will also get to know about the basics of Jetson Nano, the installation of required hardware, and how to work with contour-based lane detection algorithms. You will also find out how to attain a level of independent vehicle control with the help of lane control. Ultimately, you should be able to connect and program the hardware components smoothly and apply your newly learned skills to steer a car independently.
If this course is completed as an amateur, it is a great opportunity to progress in the chosen direction and make a career in a contemporary industry. Overall, you will receive a good background in self-driving vehicle development that will assist you in further projects or careers.
Self Driving Car with Jetson Nano : Lane Tracking , OpenCV Table of Contents:
- Self-Driving Car with Jetson Nano: Lane Tracking, OpenCV: 01:12
- Course Materials for Lane: 00:00
- Course Materials for Car: Processing..
- Installation
- Introduction: 00:51
- Formatting SD Card: 03:43
- Image File: 04:18
- Adding Wi-Fi and SD Card: 02:47
- Adding Cooler Fan: 02:32
- First Boot: 04:25
- Remote Control -1: 04:15
- Remote Control -2: 02:19
- VSCode IDE on NVIDIA Jetson Nano: 04:28
- Virtual Display: 08:01
- Installation of Python: 03:59
- Adding OpenCV Library: 02:05
- Python3
- Introduction: 00:33
- Variables: 05:47
- Article (Variables): 01:44
- Exercise -1 (Variables): 09:25
- Variables: 1 question
- Operators -1: 07:52
- Exercise -2: 07:34
- Operators: 1 question
- Operators -2: 05:14
- Exercise -3: 07:30
- Standard Input and Output Functions: 05:45
- Exercise -4: 06:19
- Exercise -5: 05:51
- Type Conversions (Article): 01:36
- Conditional Statements: 07:09
- Exercise -6: 06:27
- Conditional Statements and Type Conversion: 1 question
- Tuple and List: 01:44
- Loops: 05:04
- Exercise -7: 07:20
- Break and Continue: 01:05
- Functions: 04:47
- Exercise -8: 09:49
- Modules -1: 03:33
- Modules -2: 02:29
- Exercise -9: 10:16
- Exercise -10: 03:42
- OpenCV
- Reading and Showing an Image: 08:21
- Resizing: 05:17
- Changing Color Format: 07:04
- Color Formats: 01:42
- Basic Drawing Operations -1: 06:46
- Basic Drawing Operations -2: 05:48
- Basic Drawing Operations -3: 06:16
- Texting: 04:56
- Special Font Types: 00:02
- Usage of CSI Camera: 08:01
- DC Motor Driver
- Introduction: 01:27
- L298n Board: 03:46
- PCA9685 Board: 03:24
- Circuit Scheme -1: 02:54
- Circuit Scheme -2: 02:48
- PWM: 02:05
- Extra: 01:47
- Speed Control -1: 05:55
- Speed Control -2: 04:02
- Speed Control -3: 06:27
- Speed Control -4 (Final): 07:06
- Assembly
- Circuit Scheme: Processing..
- Assembling -1: 04:45
- Assembling -2: 04:26
- Pay Attention!: 00:09
- Project Topics (Intermediate)
- Edge Detection Algorithm (Slide): 04:20
- Edge Detection Algorithm (Coding): 08:02
- Article: Contours: 02:26
- Finding Contours (Slide) -1: 03:18
- Drawing Contours (Slide) -2: 04:07
- Contours (Coding): 08:22
- Article: Thresholding: 02:12
- Thresholding (Slide): 03:32
- Thresholding (Coding): 07:11
- Adding: 06:30
- What is ROI?: 05:43
- About ROI: 00:40
- Polygons -1: 04:56
- Polygons -2: 07:03
- Project: Self-Driving Car
- Building a Lane: 01:39
- Definition of Modules: 02:16
- Definition of I2C and Motors: 04:10
- Definition of Webcam Prop and ROI: 04:31
- Definition of Main Loop -1: 04:27
- Definition of Main Loop -2: 06:13
- Final: 00:17
Who is this course for?
- Engineering students from EEE, CE, and so on
- Anyone who is interested in Machine Learning (ML).
- Anyone interested in AI PCs (Jetson Nano)
- People interested in Self-Driving technology
Click on the links below to Download Self Driving Car with Jetson Nano : Lane Tracking , OpenCV!
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