PhD Candidates
Daniel Petrov
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.
Details
- Advisor
- Dr. Deva Ramanan
- Field
- Autonomous Systems
- Institution
- Carnegie Mellon University
- Skills
- C++PyTorchSensor FusionLiDAR ProcessingSimulation (CARLA)Safety Validation
- Thesis
- Robust perception under sensor degradation for autonomous vehicles
- Transition Signals
- Internship at Aurora InnovationCo-authored with Waymo researchersHolds a Kaggle perception competition medal