A universal 3D imaging sensor on a silicon photonics platform
Christopher Rogers, Alexander Y. Piggott, David J. Thomson, Robert F., Wiser, Ion E. Opris, Steven A. Fortune, Andrew J. Compston, Alexander, Gondarenko, Fanfan Meng, Xia Chen, Graham T. Reed, and Remus Nicolaescu

TL;DR
This paper introduces a large-scale, monolithically integrated 3D imaging sensor on silicon photonics, achieving high accuracy and scalability, enabling advanced applications in compact, high-resolution 3D cameras.
Contribution
It demonstrates the first large-scale 512-pixel coherent detector array integrated on a silicon photonics platform for 3D imaging.
Findings
Achieved 3.1 mm accuracy at 75 meters range.
Operates at the quantum noise limit with 4 mW light.
Scalable architecture enabling future megapixel resolutions.
Abstract
Accurate 3D imaging is essential for machines to map and interact with the physical world. While numerous 3D imaging technologies exist, each addressing niche applications with varying degrees of success, none have achieved the breadth of applicability and impact that digital image sensors have achieved in the 2D imaging world. A large-scale two-dimensional array of coherent detector pixels operating as a light detection and ranging (LiDAR) system could serve as a universal 3D imaging platform. Such a system would offer high depth accuracy and immunity to interference from sunlight, as well as the ability to directly measure the velocity of moving objects. However, due to difficulties in providing electrical and photonic connections to every pixel, previous systems have been restricted to fewer than 20 pixels. Here, we demonstrate the first large-scale coherent detector array consisting…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
