I am a Computer Science PhD student at University of Wisconsin - Madison, advised by Michael Gleicher and Mohit Gupta.
My research utilizes low-level techniques from computational imaging to improve robot perception. I am most interested in time-of-flight proximity sensors for up-close and distributed robot sensing.
Publications
RA-L, In Proc. ICRA 2025
Using a Distance Sensor to Detect Deviations in a Planar Surface
Carter Sifferman, William Sun, Mohit Gupta, Michael Gleicher
We detect deviations in a planar surface over a wide field-of-view using an off-the-shelf proximity sensor.
CVPR 2024
Towards 3D Vision with Low-Cost Single-Photon Cameras
Fangzhou Mu*, Carter Sifferman*, Sacha Jungerman, Yiquan Li, Mark Han, Michael Gleicher, Mohit Gupta, Yin Li
We reconstruct 3D geometry from measurements of a miniature proximity sensor.
RA-L, In Proc. ICRA 2023
Unlocking the Performance of Proximity Sensors by Utilizing Transient Histograms
Carter Sifferman, Yeping Wang, Mohit Gupta, Michael Gleicher
Directly utilizing low-level information generated by optical time-of-flight sensors allows recovery of planar geometry and albedo from a single sensor measurement.
RA-L, in Proc. IROS 2022
Geometric Calibration of Single Pixel Distance Sensors
Carter Sifferman, Dev Mehrotra, Mohit Gupta, Michael Gleicher
A depth sensor attached to a robot arm can be extrinsically calibrated relative to that robot arm using only an unknown planar surface.
Bioinformatics and Biomedicine (BIBM) 2019
Depth Sensor-Based In-Home Daily Activity Recognition and Assessment System for Stroke Rehabilitation
Zoë Moore*, Carter Sifferman*, Shaniah Tullis*, Mengxuan Ma, Rachel Proffitt, Marjorie Skubic
A system for automatic assessment of stroke patient recovery (e.g. range of motion), using an in-home depth camera.