Autonomous Vehicle Projects

Specialized knowledge and experience in self-driving car technologies is crucial to building successful autonomous vehicles. As a graduate of Udacity’s highly selective Self-Driving Car Nanodegree, I’ve completed numerous studies and projects which provide me with the skills to build safe, efficient, and comfortable self-driving car software platforms.

All of my completed projects, including full source code, are available for viewing and cloning on my Github account. Please click through any project to learn more about my work!

Perception – Computer Vision and Deep Learning

Grayscale Traffic Signs

Final Lane Detection

Final Bounding Boxes

Simulated center lane driving

  • Transfer Learning to adapt cutting-edge deep learning research for self-driving car applications

Transfer Learning

  • Semantic Segmentation to facilitate scene understanding through high-performance identification of image regions

 

Road Identified 3

Perception – Sensors

Kalman filter tracking

Particle filter localization

Path Planning

  • Path Planning for determining valid, safe, optimal, and comfortable routing for vehicles to a destination

Control Systems

  • PID Control for basic steering, throttle, braking, and other systems

Systems Integration