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PhD & Postdoc

Daniel Petrov

Autonomous Systems · Carnegie Mellon University

Daniel builds perception stacks that stay reliable when cameras are blinded by sun or rain, tested in high-fidelity simulation and on a research vehicle. His safety-validation focus suits an autonomous-driving company preparing for deployment.

9 Publications
6 Skills
Dr. Deva Ramanan Advisor
Autonomous Systems Carnegie Mellon University Advisor: Dr. Deva Ramanan

Thesis Topic

Robust perception under sensor degradation for autonomous vehicles

Skills

C++ PyTorch Sensor Fusion LiDAR Processing Simulation (CARLA) Safety Validation

Transition Signals

Internship at Aurora Innovation

Co-authored with Waymo researchers

Holds a Kaggle perception competition medal

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