Researcher Positions in the CARLA Research Project – Fall 2022

Simulation of the Collaborative Automated Driving Systems (CADS)

About the project 

We are actively recruiting undergraduate students and graduate students with engineering or computer sciences backgrounds for the semester of Fall 2022.

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. 

The major objectives of the CARLA Research Project 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

More information will be updated on our official website. 

Working in groups 

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

1. The Sensing and Prediction Group

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

2. The Planning and Control Group 

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 computer vision algorithms 
  • Basic knowledge of time series analysis
  • Basic knowledge of optimization 
  • Basic knowledge of control theory

Working information 

Anticipated workload per week:

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

Working location:

  • Remote work 
  • Offline meeting location TBA 

How to apply

Deadline: Thu Sept 15, 2022

Application form: Please fill out the form and upload your resume:

Helpful Links 


Graduate Student Research Group 

in the Depart. of Civil and Environmental Engineering