Autonomous Mobility
Active-stereo and projected-light 3D perception for autonomous vehicle control and precise hitching.
We build high-accuracy, high-speed 3D measurement systems — the sensing hardware, the reconstruction algorithms, and the physically-grounded data that teaches embodied, physical AI.
The same 3D optical sensing core reaches across robotics, security, mobility, medicine, and immersive media.
Dynamic 3D scans and per-joint hand tracking that give embodied AI physically-grounded data for manipulation.
See it in action →Portable, high-resolution 3D capture of footwear and tire impressions for field-ready forensic evidence.
See it in action →Active-stereo and projected-light 3D perception for autonomous vehicle control and precise hitching.
3D and volumetric analysis of biomedical data — such as retinal OCT layer segmentation for glaucoma assessment.
Immersive 3D capture, geometry compression, and transmission — developed with leading reality labs.
High-speed 3D reconstruction of hands and objects during real manipulation — the physically-grounded data and per-joint hand tracking that teach embodied, physical AI.
Novel projection architectures we build to push dynamic 3D capture — faster, and across a wider field of view.

A rotating cylindrical projector that generates fringe patterns mechanically — enabling extremely high-speed fringe projection profilometry beyond the frame-rate limits of conventional digital projectors.

A catadioptric system — fisheye camera, parabolic mirror, and DLP projector — that extends digital fringe projection to a panoramic field of view for omnidirectional 3D reconstruction.
High-resolution structured-light 3D imaging of footwear and tire impressions — engineered to be portable and field-ready, untethered from the lab.

A compact, battery-powered scanner integrating a machine-vision camera, DLP projector, and on-board power electronics — engineered for high-accuracy structured-light 3D capture in the field, untethered from the lab.
Browse our peer-reviewed journal articles and conference papers spanning optics, imaging, and machine learning.
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