Jetson Autonomous Vehicle

During the summer of 2025, I took my growing passion for self-driving cars and designed and built a 1:10-scale autonomous vehicle powered by an NVIDIA Jetson Nano as a personal passion project. I developed a custom chassis and motor control system, integrating ultrasonic sensors, IMU fusion, and a camera-based perception system to enable real-time 360° localization in dynamic environments. To enhance reliability, I implemented a fault detection module that monitored sensor health and maintained safe operation under uncertainty. Using TensorFlow, I trained a convolutional neural network on over 20,000 augmented frames for lane detection and obstacle avoidance, then deployed the model with CUDA-accelerated OpenCV preprocessing—achieving roughly 90% accuracy on test track evaluations.

Jetson Nano Vehicle in Action

Jetson Angle

My Jetson Self-Driving Car

Side View

Side View

Top View

Top View

Back View

Back View

Chassis 1

Vehicle Chassis Design

FEA Chassis

Chassis Stress Testing FEA

Laser Cutting Chassis

Laser Cutting Chassis

Camera Calibration Setup

Laser Cutting Complete

Final Assembly Back

Finished Chassis

Primary Electronics:

Jetson Nano
Jetson Nano
Camera
V2 Camera Module
Ultrasonic Sensor
Ultrasonic Sensor
IMU
IMU Sensor
Motor Driver
L298N Motor Driver
OLED Display
OLED Display