A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles in CARLA to navigate scenarios with stationary obstacles.

Linear Model Predictive Controller for Vehicle Trajectory Tracking based on Kinematic Unicycle Vehicle Motion Model with Cubic Polynomial Trajectory Generation. Evolutionary Algorithm-assisted Tuning of MPC prediction horizon and penalty matrices

Study Materials, Lecture Notes, Free PDFs, PPTs, Codes & Videos

This repository highlights the integration of neural network-based control with PID and MPC approaches in the AirSim simulator to enhance steering inputs for autonomous vehicles. Employing imitation learning and a hybrid neural network architecture, the project aims to create a robust and unbiased model for improved autonomous vehicle control.

AlmaBetter Capstone Project -Classification model to predict the sentiment of COVID-19 tweets. The tweets have been pulled from Twitter and manual tagging has been done then.

This repo contains the LPV-MPC Controller for Autonomous Vehicle project aims to develop a robust control system that allows an autonomous vehicle to follow predetermined trajectories with high precision. Autonomous vehicles operate in dynamic environments, where accurate trajectory tracking is crucial for safety and efficiency.