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Research · Purdue VIP

Autonomous Motorsports

Synthetic data and semantic segmentation for an autonomous race car.

Year
2025
Role
Undergraduate Researcher
Stack
PyTorch, TwinLiteNetPlus, OpenCV
Links
—
$ cat autonomous-motorsports/READMEAutonomous MotorsportsResearch · Purdue VIP · 2025stackPyTorchTwinLiteNetPlusOpenCV

What I did

Fine-tuned a TwinLiteNetPlus model for semantic segmentation on synthetic autonomous racing data, and built the automated pipeline that generated it: 5k+ labeled cone masks composited onto real track images.

Next project
Engine Data Synthesizer→