3 papers
cs.CV2026
Beyond Bayer: Task-Optimal Sensor Co-Design for Robust Autonomous-Driving Segmentation
Reeshad Khan, John Gauch
Robust perception underpins autonomous driving, and most recent progress comes from scaling the model-larger backbones, foundation models, and cooperative multi-agent fusion. We pu…
cs.CV2025
Learning to Sense for Driving: Joint Optics-Sensor-Model Co-Design for Semantic Segmentation
Reeshad Khan, John Gauch
Traditional autonomous driving pipelines decouple camera design from downstream perception, relying on fixed optics and handcrafted ISPs that prioritize human viewable imagery rath…
cs.CV2025
TinyBEV: Cross Modal Knowledge Distillation for Efficient Multi Task Bird's Eye View Perception and Planning
Reeshad Khan, John Gauch
We present TinyBEV, a unified, camera only Bird's Eye View (BEV) framework that distills the full-stack capabilities of a large planning-oriented teacher (UniAD [19]) into a compac…