Vulnerability Assessment of Sensor Fusion for Transformer-based End-to-End Autonomous Driving Models

This project conducts a comprehensive vulnerability assessment of transformer-based end-to-end autonomous driving models that use sensor fusion, specifically TransFuser and InterFuser architectures. The research focuses on evaluating robustness against evasion attacks that target misclassifications and incorrect trajectory generation, as well as analyzing natural corruptions like adverse weather conditions. The project will develop an evaluation framework, implement attack strategies, and validate findings using both simulation and real-world testbeds.

• Record URL:
  • https://www.clemson.edu/cecas/tracr/research/projects/#vulnerabilityassessmentofsensorfusionfortransformerbasedendtoendautonomousdrivingmodels

Language

• English

Project

• Status: Active
• Funding: $347,682.00
• Contract Numbers:

  69A3552344812

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590

  Clemson University

  216 Lowry Hall
  Clemson, SC, SC  United States  29634

  Benedict College

  1600 Harden Street
  Columbia, South Carolina  United States  29204
• Managing Organizations:

  National Center for Transportation Cybersecurity and Resiliency (TraCR)

  Clemson University
  Clemson, SC  United States 

  Clemson University

  216 Lowry Hall
  Clemson, SC, SC  United States  29634
• Project Managers:

  Chowdhury, Mashrur

• Performing Organizations:

  Clemson University

  216 Lowry Hall
  Clemson, SC, SC  United States  29634

  Benedict College

  1600 Harden Street
  Columbia, South Carolina  United States  29204
• Principal Investigators:

  Pisu, Pierluigi

  Iyangar, Balaji

• Start Date: 20250101
• Expected Completion Date: 20251231
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Computer security; Connected vehicles; Data fusion; Risk assessment; Sensors
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Safety and Human Factors; Security and Emergencies; Vehicles and Equipment;

Filing Info

• Accession Number: 01950378
• Record Type: Research project
• Source Agency: National Center for Transportation Cybersecurity and Resiliency (TraCR)
• Contract Numbers: 69A3552344812
• Files: UTC, RIP
• Created Date: Mar 31 2025 11:15AM