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DTSTAMP:20260817T171531Z
LOCATION:Hall B5 (2)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241204T151300
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UID:siggraphasia_SIGGRAPH Asia 2024_sess119_papers_856@linklings.com
SUMMARY:Coherent Optical Modems for Full-Wavefield Lidar
DESCRIPTION:Parsa Mirdehghan (University of Toronto, Vector Institute); Br
 andon Buscaino (Ciena Corporation); Maxx Wu (University of Toronto, Vector
  Institute); Doug Charlton and Mohammad E. Mousa-Pasandi (Ciena Corporatio
 n); and Kiriakos N. Kutulakos and David B. Lindell (University of Toronto,
  Vector Institute)\n\nThe advent of the digital age has driven the develop
 ment of coherent optical modems---devices that modulate the amplitude and 
 phase of light in multiple polarization states. These modems transmit data
  through fiber optic cables that are thousands of kilometers in length at 
 data rates exceeding one terabit per second. This remarkable technology is
  made possible through near-THz-rate programmable control and sensing of t
 he full optical wavefield. While coherent optical modems form the backbone
  of telecommunications networks around the world, their extraordinary capa
 bilities also provide unique opportunities for imaging. Here, we repurpose
  off-the-shelf coherent optical modems to introduce full-wavefield lidar: 
 a type of random modulation continuous wave lidar that simultaneously meas
 ures depth, axial velocity, and polarization. We demonstrate this modality
  by combining a 74 GHz-bandwidth coherent optical modem with free-space co
 upling optics and scanning mirrors. We develop a time-resolved image forma
 tion model for this system and formulate a maximum-likelihood reconstructi
 on algorithm to recover depth, velocity, and polarization information at e
 ach scene point from the modem's raw transmitted and received symbols. Com
 pared to existing lidars, full-wavefield lidar promises improved mm-scale 
 ranging accuracy from brief, microsecond exposure times, reliable velocime
 try, and robustness to interference from ambient light or other lidar sign
 als.\n\nRegistration Category: Full Access, Full Access Supporter\n\nLangu
 age Format: English Language\n\nSession Chair: Qi Sun (New York University
 , Google)\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_856&sess=sess119
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