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Miniature Connected & Automated Vehicle Fleets

Tags

Scope:

Cooperative Driving Automation Robotics

Keywords:

ROS2 (Robot Operating System 2) Raspberry Pi 4 3D Printing Camera and Lidar Perception SLAM Control Wireless Communication
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Project Overview

Developed a fleet of miniature connected and automated vehicles to simulate cooperative driving automation in different traffic scenarios. The project involved designing and building the vehicles perception, decision making, and control algorithms, developing communication protocols, and validating the system in various traffic scenarios.

Key Objectives:

  • Design and build a miniature testbed for cooperative driving automation research
  • Develop V2V and V2I communication protocols for small-scale fleet coordination
  • Create scalable algorithms for multi-vehicle trajectory planning and optimization
  • Validate cooperation strategies through real-world miniature vehicle experiments
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Methodology

  • Design and build miniature connected and automated vehicles
  • Develop V2V and V2I communication protocols for small-scale fleet coordination
  • Create scalable algorithms for multi-vehicle trajectory planning and optimization
  • Validate cooperation strategies through real-world miniature vehicle experiments

Results & Impact

Successfully demonstrated cooperative driving automation in a miniature fleet of connected and automated vehicles in highway and urban driving scenarios.

  • The AUTOTRAC project team was also awarded the People's Choice Award in the Student Poster Competition at the IEEE SusTech 2021 conference.
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Videos

AUTOTRAC 2020 Competition Demo

Urban Scenario

Highway Scenario