PassmoreLab Austin, TX

STATION ONLINE · OBSERVATORY-4

An independent laboratory for
perception, tracking, and target identification.

PassmoreLab is a private sensor-fusion research group in Austin, Texas. We build the instruments, math, and software substrate for multi-modal ISR: single-photon optics, phased-array RF, and volumetric evidence stores that outlast any single sensor.

Founder
Greg Passmore
Focus
Multi-modal ISR & autonomous sensing
Location
30.27° N, 97.74° W
Status
Instruments live

§ 01 · About

PassmoreLab operates as a closed-loop experimental discovery system. Our workbench includes phased-array RF receivers, software-defined radios across HF through UHF, parabolic dish arrays, GigE machine-vision cameras, motion-controlled optical benches, multispectral drone payloads, and a distributed compute fleet running local foundation models.

We publish patents, papers, and long-form technical books. Our research emphasizes physics-first explanations, reproducible bench experiments, and instrument noise-floor characterization before any downstream inference. We are not a consulting shop and we do not sell products. This site exists so peer researchers can find us, cite our work, and reach out.

§ 02 · Research

What we work on

  1. 01

    Volumetric sensor fusion

    Vossels, or Volumetric Singular Spectral Elements, and the Master Geovolume: a distributed, evidence-preserving store for spatially indexed sensor records with uncertainty kernels, provenance, and channelized measurement vectors across optical, thermal, hyperspectral, radar, and acoustic modalities.

  2. 02

    ISR world models

    A unified world-model framing for intelligence, surveillance, and reconnaissance that composes voxels, mipvols, and vossels under reinforcement learning. Track degradation, structured residuals, and confidence estimation are first-class objects, not afterthoughts.

  3. 03

    RF & SDR spectrum sensing

    HF through mmWave: swept-spectrum surveys with laboratory RSA analyzers, KrakenRF phased-array direction finding, HackRF and RSPdx wideband capture, WWV timing references, and satellite validation on a fixed dish. Every measurement chain is calibrated against a characterized noise floor.

  4. 04

    Computational imaging

    Plenoptic and light-field targeting, telephoto multi-baseline stereo, DJI M3M multispectral alignment, and GigE machine-vision pipelines. We treat pixels as rays, frustums, and probabilistic volumes rather than atomic samples.

  5. 05

    Autonomous experimentation

    A supervisor-owned experiment frontier that dispatches declarative measurements across a hardware abstraction layer, records reproducible provenance, and closes the loop through active learning and symbolic regression. Autonomy is benchmarked against fixed schedules by information gained per instrument-hour.

  6. 06

    Edge-scale local AI

    An Ollama-based multimodal cluster on Apple Silicon, tied to a shared RAG substrate and multi-stage reasoning workflows. We study neuromorphic edge classification and combat-ID under the same volumetric evidence framework used for the rest of the stack.

§ 03 · Contact

For researchers

If your work touches ISR sensor fusion, RF geolocation, computational imaging, volumetric evidence stores, or autonomous experimentation, we would like to hear from you. We correspond with academic, government, and industrial researchers.

info@passmorelab.com

Austin, Texas · United States. Please include a brief description of your affiliation and the topic you are writing about. We do not sell products or provide commercial services; this address is for peer research inquiries.