3 papers
cs.RO2026
DENALI: A Dataset Enabling Non-Line-of-Sight Spatial Reasoning with Low-Cost LiDARs
Nikhil Behari, Diego Rivero, Luke Apostolides +3
Consumer LiDARs in mobile devices and robots typically output a single depth value per pixel. Yet internally, they record full time-resolved histograms containing direct and multi-…
cs.CV2026
Spatial Calibration of Diffuse LiDARs
Nikhil Behari, Ramesh Raskar
Diffuse direct time-of-flight LiDARs report per-pixel depth histograms formed by aggregating photon returns over a wide instantaneous field of view, violating the single-ray assump…
cs.CV2026
Real-Time Wildfire Localization on the NASA Autonomous Modular Sensor using Deep Learning
Yajvan Ravan, Aref Malek, Chester Dolph +1
High-altitude, multi-spectral, aerial imagery is scarce and expensive to acquire, yet it is necessary for algorithmic advances and application of machine learning models to high-im…