WRO Future Engineers Project
TensorFlow Model
IMU + Camera
Path Planning
For the WRO Future Engineers competition, we built a fully autonomous self-driving car from scratch. The chassis was custom-designed and CNC-machined to achieve precise dimensions and durability.
The system runs on a Raspberry Pi 4 with a camera for real-time vision processing. A TensorFlow model was trained to detect and classify obstacles, enabling the car to make intelligent decisions.
Using a combination of gyroscope, accelerometer, and magnetometer data, the car maintains accurate positioning. Custom algorithms handle lane detection, path planning, and obstacle avoidance.
View GitHub Repo