← All projectsGitHub
Digital twins & sim-to-real

Can a lidar twin give each beam an independent visibility probability, or do neighbouring beams share occluders?

research/occlusion-twin

Lidar twin with independent per-beam visibility vs a Poisson occluder field: beams closer than an occluder diameter share occluders, exact blind probability by inclusion–exclusion over union lengths, 8 beams at 25 cm blind 0.0815 vs the twin's 0.0039 (20.9×), the twin is exact once spacing ≥ 2ρ, an occluder-field ensemble matches. Stylised.

11 tests

What it found

For a Poisson field of occluders of radius ρ, beams a distance s apart are both clear with probability exp(−μ(2ρ+min(s,2ρ))), which equals p2 exactly when s ≥ 2ρ; any set of beams has the closed form exp(−μ·union length). An independent-beam twin therefore matches the mean number of clear beams but understates the variance and the blind probability: with 8 beams at 25 cm and single-beam visibility 0.5 (occluder diameter 1 m) the exact blind probability is 0.0815 against the twin’s 0.0039 (20.9×, 97× at 5 cm), and reaching a blind probability of 0.01 needs 16 beams instead of 7 (not reachable with 16 at 10 cm). The twin is exact once the spacing exceeds the occluder diameter, and an ensemble twin that samples occluder fields reproduces the exact value (0.0815 vs 0.0815 ± 0.0006). Stylised: one-dimensional lateral projection, binary opaque occluders, no lidar data.

A figure from its own output

Figure produced by research/occlusion-twin: blind_vs_spacing
occlusion-twin/experiments/blind_vs_spacing.svg, written by the project's own experiment code.

Paper, code and results

More in Digital twins & sim-to-real

All 164 Digital twins & sim-to-real projects →

Other research topics

Proper scoring & elicitation28Effort & peer prediction9Verification games & slashing19Detection & tolerances14Markets as routers13Prediction-market design9Paying contributors8Decentralised training systems23Digital twins & sim-to-real164LLM chip design loops40Robot manufacturing loops53Ambient AI assistant46Self-replicating manufacturing34Simulation-first design64Engineered clothing45Task-specific AI accelerators40Algorithmic chip-design loops42Open-source purpose-built robots44The software-engineering loop43Adversarial human imitation41Open-source residential construction41Autonomous multi-angle capture34Sensing, imaging and 3D31Energy supply and dense energy storage39Robot societies among people31Agentic co-design of low-cost robots27Laundry-hanging robots25Machine learning on qualitative data23Robots on the building site27Civilizations & group psychology1History & human sciences1

Produced with AI assistance (Claude). Results are from the code in this repository and are simulated or stylised unless the abstract says otherwise; nothing here implies affiliation with or endorsement by any lab, researcher or company cited. MIT licensed.