Seeing Around Corners? We Can Do That, says Tristan Swedish of Ubicept
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Seeing Around Corners? We Can Do That, says Tristan Swedish of Ubicept
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We dig into SPAD photon-counting sensors and why converting photons into bits can change low-light imaging, motion blur, and dynamic range for real perception systems. We also connect the physics of uncertainty to modern AI so vision models stop guessing when the data is ambiguous.
• How SPAD arrays work and why they differ from CMOS image sensors
• Why SPAD data volume can reach terabytes and how near-sensor processing makes it usable
• Photon noise as a physics limit and how integrating over time improves confidence
• Motion compensation that enables longer effective exposure without motion blur
• Why night color is often a noise problem, not a missing-color problem
• How uncertainty-aware imaging can reduce AI hallucinations in computer vision
• Automotive and ADAS use cases plus reflections and extreme dynamic range
• What “seeing around corners” means using time-tagged light echoes and real constraints