A real-time lane detection system applied computer vision techniques and deep learning.
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Updated
Sep 11, 2023 - Python
A real-time lane detection system applied computer vision techniques and deep learning.
Safe vehicle lateral control combining Soft Actor-Critic with constrained MPC. Python, PyTorch, stable-baselines3, OSQP. arXiv:2608.17258
Comparative study of Pure Pursuit and Stanley lateral control algorithms for autonomous lane keeping in the CARLA simulator
Autonomous vehicle control using Pure Pursuit and curvature-based speed regulation - 69s lap time, UIUC ECE 484 Safe Autonomy
Lateral flight controller design for a B-747 using classical control(lead/lag compensator & wash-out filter) and LQR
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.
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