A real-time lane detection system applied computer vision techniques and deep learning.
Autonomous vehicle control using Pure Pursuit and curvature-based speed regulation - 69s lap time, UIUC ECE 484 Safe Autonomy
Comparative study of Pure Pursuit and Stanley lateral control algorithms for autonomous lane keeping in the CARLA simulator
This project implements and evaluates deep learning-based lateral control for autonomous vehicles in simulation, leveraging synthetic datasets from Udacity and AirSimNH to train and compare CNN and Vision Transformer models, integrating YOLOv5-driven object and lane detection for emergency braking and adaptive steering interventions.
Lateral flight controller design for a B-747 using classical control(lead/lag compensator & wash-out filter) and LQR
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