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CARLA Research Project

About the Project

The CARLA Research Project is an ongoing research project. We are actively recruiting undergraduate students and graduate students with engineering or computer sciences backgrounds for the semester of Fall 2022. To apply for the position, please fill out the application form and upload your resume before Sept 15, 2022 using the following link: https://forms.gle/qLk6rDwPVK6sWpN46.

Overview

CARLA is an open-source autonomous driving simulator. It was built from scratch to serve as a modular and flexible API to address a range of tasks involved in the problem of autonomous driving. CARLA simulator is a great platform for testing the algorithms for autonomous vehicles.

The Collaborative Automated Driving System (CADS) provides full vehicle operations and control for Connected and Automated Vehicle and Highway (CAVH) systems, which include an intelligent vehicle subsystem and an intelligent roadway subsystem, by sending individual vehicles with detailed and time-sensitive control instructions for vehicle operations. The Connected Reference Marking System (CRMS) and related methods provide vehicle location identification functions for connected automated vehicles (CAV) at any vehicle intelligence level.

Objectives

The major objectives of the CARLA Research Project in Fall 2022 are to:

  • Simulate the operational life cycle of the CADS in the CARLA environment
  • Validate the developed algorithms of collaborative automated driving
  • Develop and test new models in the customized environment and the CARLA environment

We will work on redesigned learning tasks and development tasks of the connected and automated driving functions, including software development, algorithm development, and system integration and development.

Working information

Anticipated workload per week:

  • Flexible, 4 hours or above preferred 
  • Weekly meeting (offline and online)

Working location:

  • Remote work 
  • Offline meeting location TBA

Research Groups

I. The Sensing and Prediction Group

Group leaders: Keshu Wu, Sicheng Fu, Rei Tamaru, Jingwen Zhu, Junwei You, Yifan Tan

Research topics:

  • Customization of the sensors on CAV and roadside units (RSU) using CARLA Python API
  • Vehicle and pedestrian detection
  • Traffic scene semantic segmentation
  • Depth estimation and visualization
  • Simulation of the communication between CAV and RSU
  • Vehicle motion and trajectory prediction
  • Anomaly detection of driving behavior

Preferred qualifications:

  • Basic knowledge of automated driving
  • Programming skills in Python 
  • Experience with developing machine learning/deep learning/reinforcement learning models 
  • Basic knowledge of computer vision algorithms 
  • Basic knowledge of time series analysis 

II. The Planning and Control Group

Group leaders: Haotian Shi, Tianyi Chen, Yifan Yao, Kunsong Shi, Sixu Li, Chunyu Liu, Kexin Tian

Research topics:

  • Agent generation and customization using CARLA Python API
  • Vehicle route planning and optimization
  • Traffic signal control and optimization
  • Vehicle control and path tracking
  • Distributed/Data-driven car-following control and optimization
  • Vehicle state and environment information extraction

Preferred qualifications:

  • Basic knowledge of automated driving
  • Programming skills in Python 
  • Experience with developing machine learning/deep learning/reinforcement learning models 
  • Basic knowledge of optimization 
  • Basic knowledge of control theory

How to apply

Schedule