Integrated Simulation for Connected Autonomous Driving
Project 2023-24
Project Title: Integrated Simulation for Connected Autonomous Driving
Lab/Research Group: Human-Centered Robotics Lab
The Human-Centered Robotics Lab is directed by Prof. Hao Zhang and is dedicated to cutting-edge research on lifelong collaborative autonomy, with the goal of enabling robots to operate and adapt over long periods of time, and to naturally collaborate with humans and adaptively work with other robots as teammates. Our research lies at the intersection of robotics and artificial intelligence, with specific research topics focusing on robot adaptation and learning, multi-robot teaming, and human-robot collaboration in dynamic, unstructured, novel, and potentially adversarial environments. You may find more about the lab at https://hcr.cs.umass.edu.
Project Description:
Connected Autonomous Driving (CAD) combines advantages of autonomous driving and vehicle connectivity technologies to assist humans in driving and improve driving safety. Due to high costs and safety risks of directly implementing algorithms on real vehicles, high-fidelity simulations are typically used for algorithm evaluation before real-world deployment. The goal of this project is to develop an integrated high-fidelity simulation of the UMass Amherst’s campus environment by integrating a set of open-source libraries for evaluation, validation, and demonstration of collaborative perception and control algorithms to enable connected autonomous driving.
Learning Objectives:
The students will be able to:
develop a complete simulation based on open-source libraries using Python in Ubuntu
understand fundamental concepts and components in robotic systems (e.g., sensing, perceiving, reasoning, and acting)
perform empirical performance evaluation of connected autonomous driving algorithms
Skills needed:
Knowing Python programming in Linux