World-scale augmented reality (AR) applications need a ubiquitous 6DoF localization backend to anchor content to the real world consistently across devices. Large organizations such as Google and Niantic are 3D scanning outdoor public spaces in order to build their own Visual Positioning Systems (VPS). These centralized VPS solutions fail to meet the needs of many future AR applications-they do not cover private indoor spaces because of privacy concerns, regulations, and the labor bottleneck of updating and maintaining 3D scans. In this paper, we present OpenFLAME, a federated VPS backend that allows independent organizations to 3D scan and maintain a separate VPS service for their own spaces. This enables access control of indoor 3D scans, distributed maintenance of the VPS backend, and encourages larger coverage. Sharding of VPS services introduces several unique challenges-coherency of localization results across spaces, quality control of VPS services, selection of the right VPS service for a location, and many others. We introduce the concept of federated image-based localization and provide reference solutions for managing and merging data across maps without sharing private data.

This paper presents all-digital calibration algorithms for correcting static non-linearities in an ADC. A bit-by-bit (BB) calibration is proposed as an alternative to the existing radix calibration. The proposed calibration algorithm is initially demonstrated using a non-uniform ADC model generated in Matlab. A hybrid radix/bit-by-bit calibration is also developed to reduce the computational complexity of BB calibration. The calibration algorithms are then applied to measurement data from two different ADCs: a 6-bit folding-flash; and a 10-bit dual-split capacitor (DSC)-DAC SAR ADC. In both ADC architectures, the BB and hybrid calibrations outperform radix calibration. The BB calibration improved the SNDR and SFDR of the folding-flash ADC from 29.5 dB to 31.9 dB and 33.3 dB to 43.6 dB, respectively. Likewise, after applying the hybrid calibration on the DSC-DAC SAR ADC, the SNDR and SFDR improved from 31.8 dB to 47 dB and 33.6 dB to 58.9 dB, respectively. The hybrid calibration achieves performance similar to that of BB calibration while demonstrating a significant reduction in computational complexity.

This paper presents an all-digital background calibration for timing mismatch in time-interleaved analog-to-digital converters (TI-ADCs). It combines digital adaptive timing mismatch estimation and digital derivative-based correction, achieving lower hardware cost and better suppression of timing mismatch tones than previous work. In addition, for the first time closed-form exact expressions for the signal-to-noise and distortion ratio (SNDR) of a four-channel TI-ADC with timing mismatch after derivative-based digital correction are obtained, which can be used to guide the design. Simulation results of a four-channel TI-ADC behavioral model and measurement results from a commercial 12-bit 3.6-GS/s two-channel TI-ADC show that the proposed all-digital calibration can accurately estimate the timing skew and effectively correct the timing mismatch errors, while also confirming the analytic SNDR expressions.