Technical due diligence / ISO 26262 / ISO 21448 SOTIF

Autonomy and
software safety,
evaluated structurally.

Independent risk evaluation for perception, localization, and sensor fusion stacks that have to survive both the real world and a certification audit.

Schedule an intro call Advisory profile

Fig. 01 / Track continuity under occlusion Replay

The stack reports two objects. There was one. TRK 31 → TRK 44 / identity lost

Track record

25 year professional career, 15+ years in safety-critical systems

Research

Lead Research Engineer, Validas AG, 2017 to 2025

Consortia

SafeWahr with AVL, Intel, TU Clausthal. Plus SpesML, SPEDiT, HUBCAP

Record

Granted EP patent, 3 peer-reviewed publications

Services

Where autonomy programs actually break

Not in the feature list. In the assumptions nobody wrote down, the failure boundaries nobody defined, and the evidence nobody can produce when the assessor asks for it.

SVC / AI AI Transformation From ungoverned AI to a stack you can govern, audit, and scale. Diagnosed across five dimensions, delivered as a roadmap. SVC / RISK Autonomy System Risk Evaluation Structural risk in the architecture, not in the backlog. Includes SLAM robustness and perception validation. SVC / CERT Certification Strategy & Gap Analysis ISO 26262 and ISO 21448, mapped to what you actually have. SVC / TDD Technical Due Diligence (Autonomy & AI) For investors who need the claim checked, not repeated. SVC / LEAD Interim / Fractional Technical Leadership Engineering ownership without a permanent headcount.

Diagnostics

Check your own stack first

Self-assessments you can run yourself. No sales call attached, no email wall. If the result looks uncomfortable, that is the point.

Tool 05 / interactive

Hierarchical Perception

Flat object lists drop what they have not seen before. This demo abstracts each detection up a semantic taxonomy to the most specific level it can safely justify, and cross-checks it with an independent segmentation path.

Open the interactive demo

Tool 02 / 15 min

AI Maturity Matrix

Map your organisation's AI readiness against a model-based maturity matrix. Mark what you have, set where you want to go, and get a dependency-ordered roadmap plus a personalised report.

Start the assessment

Tool 04 / 10 min

Humanoid Autonomy Compass

A humanoid robot on a shared floor needs different controls than an agent drafting copy. Derive the fitting oversight regime from three properties you can actually check, then turn that verdict into a compliance checklist you can export.

Open the compass

Writing

DeepTech perspectives on perception, reasoning, and resilience

Computer Vision/Jul 15, 2026

The Affine Ceiling: Sharp on Affine Motion, Blind at Depth

Formal motion estimation is dismissed as good only for small motion. A benchmark against pixel-exact ground truth shows that is false: large scaling and rotation are solved to sub-pixel accuracy. The real ceiling is the affine assumption, and it collapses at exactly the depth boundary that 3D reconstruction is made of.

Computer Vision/Jul 10, 2026

Your Perception Stack Is a Snapshot Machine

Most perception stacks reason one frame at a time. The network detects, tracking is bolted on afterwards, and the system never really carries the world forward. A snapshot machine cannot validate cleanly, because the thing that would make its output trustworthy is the thing it discards between frames: continuity.

Cognitive Science/Jun 28, 2026

Gödel Is Not a Death Sentence for Reason

Gödel's incompleteness theorem, Hume's induction problem, the halting problem, and AI hallucination are not isolated failures of reason. They point to the same missing term: context.

All articles

About

I evaluate the structural limits of autonomy stacks, before they become operational liabilities.

More than 15 years in safety-critical software and autonomy programs, on top of a longer trajectory through computational graphics, SLAM research, and formal verification. My work covers robustness under real-world constraints, certification feasibility under ISO 26262 and ISO 21448, and the architectural boundaries of modern perception.

Autonomy systems rarely fail because a feature is missing. They fail because a structural constraint was never examined.

Full background

Structural depth

Localization, SLAM, sensor fusion, and safety-critical architecture, read at the level where the failure modes actually live.

Engineering rigor

Explicit assumptions, traceable decisions, defined failure boundaries. Everything else is opinion with a slide deck.

Independent oversight

No tool to sell, no platform to defend. The evaluation says what it finds.

Next step

Bring me the part of the stack nobody wants to present.

Thirty minutes, no pitch. Either there is a structural problem worth your time and mine, or there is not, and I will say so.

Schedule an intro call inquiry@felixschaller.com

Autonomy andsoftware safety,evaluated structurally.