This project is done by Huỳnh Long and Nguyễn Hùng Khanh (IT cohort 40) as their graduation thesis at ICT College, Can Tho University.
Summary: This project focuses on building a self-driving robot model capable of detecting signs, traffic lights, and obstructions. To perform these functions, Haar cascade method was used to identify signs and traffic lights, then trigger the stop or continue command. Moreover, ANN was adopted to determine the movement direction (go straight, turn left, turn right) of robot from a training set of road lines' photos.
List of hardware components:
Author: Huỳnh Long, Nguyễn Hùng Khanh
Advisor: Thái Minh Tuấn, Nguyễn Ngọc Mỹ
Year: 2018.
Summary: This project focuses on building a self-driving robot model capable of detecting signs, traffic lights, and obstructions. To perform these functions, Haar cascade method was used to identify signs and traffic lights, then trigger the stop or continue command. Moreover, ANN was adopted to determine the movement direction (go straight, turn left, turn right) of robot from a training set of road lines' photos.
List of hardware components:
- Raspberry pi 3
- Raspberry Pi Camera
- Raspberry Pi Battery
- HC-SR04 Ultrasonic Sensor
- Robot frame
- 4 DC Motors & Wheels
- L298N motor controller
Author: Huỳnh Long, Nguyễn Hùng Khanh
Advisor: Thái Minh Tuấn, Nguyễn Ngọc Mỹ
Year: 2018.
