Meet the team

Texas A&M University Autonomous Indy Racing

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So in conclusion ...

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Our Racecar

To ensure this competition focuses on the best high-speed autonomous driving algorithms, all teams are required to use the same car, hardware, and sensors suite. The Dallara-produced IL-15 (Indy Light) will have no problem reaching top speeds of 300km/h and is outfit with advanced sensor systems and computational units to enable high-speed decision making.

Our Practice Car

To provide an opportunity to easily test our autonomous driving algorithms without placing excessive wear on the race vehicle, we've put together a self-driving Toyota Camry. Learn more about our process, including the use of openpilot and CAN bus hacking.

Social Media and Contact

Connect with us on other platforms and stay up to date!

Team Members

Yangwoo Kim

Civil Engineering, Ph.D.

Lance Decker

Interdisciplinary Engineering, Ph.D.


Jerry Cazares

Civil Engineering, Ph.D.

Chen Liang

Computer Science, M.Sc.


Tom Nan

Mechanical Engineering, M.Sc.

Aaron Angert

Computer Engineering, Ph.D.


Caleb Peck

Aerospace Engineering, Ph.D.

Daniel Haseler

Electronic Systems Engineering Technology, B.Sc.


Sunil Kumar

Computer Science, M.Sc.

Michael Rawlins

Mechancial Engineering, B.Sc.

Faculty and Advisors

Dr. Ivan Damnjanovic

Civil Engineering

Dr. Dezhen Song

Computer Science & Engineering


Dr. Stephanie Paal

Civil Engineering

Dr. Byul Hur

Engineering Technology


Dr. Wendi Zimmer

Sport Management

Dr. David Breeding

Health and Safety


Steve T. Cox

Industry, TVMDL

Jinjin Pan

Cyclotron Institute