Obstacle Avoiding Car

This project aims to design, build, and program a self-driving car that can autonomously navigate its environment while avoiding obstacles. This project combines elements of robotics, electronics, and programming to create a functional and intelligent vehicle capable of real-time decision-making.

Key Components:

1. 2 Wheels

2. 1 Arduino UNO

3. 1 Dual H-Bridge motor drivers L298

4. 2 Gear motor

5. 1 Ultrasonic Sensor - HC-SR04 (Generic)

6. 1 Servo motor SG90

Motors and wheels were used for movement.

An integrated sensor (ultrasonic) was used to detect obstacles in the car's path.

Arduino UNO R3 was implemented to process sensor data and control the car's movements.

Functional Requirements:

1. Obstacle Detection: The car must detect obstacles within a certain range (e.g., 10-50 cm) in front of it.
2. Autonomous Navigation: The car should make real-time decisions to turn left, right, or reverse when an obstacle is detected.
3. Speed Control: The car must be able to adjust its speed based on the proximity of obstacles.
4. Environment Adaptability: The car should be able to navigate different environments, including flat surfaces and slightly uneven terrains.

Expected Outcomes:

• A fully functional obstacle-avoiding car is capable of autonomous navigation.
• Demonstration of integration between hardware components and software algorithms.
• Insights into challenges and solutions in the field of autonomous vehicles and robotics.