Contact

Reaching the editorial and research staff at Sensor Fusion Authority involves understanding what types of inquiries are handled, what information accelerates a response, and what realistic timelines apply. This page describes the structure of the contact process, the categories of requests this office handles, and how to route technical, licensing, or industry-sector questions to the appropriate channel.

What to include in your message

A well-structured inquiry reduces back-and-forth and moves faster through the review queue. The following breakdown describes the minimum useful content for each inquiry category.

1. Technical accuracy or correction requests
Identify the specific page by title and URL slug (e.g., /kalman-filter-sensor-fusion or /sensor-fusion-failure-modes). Cite the specific claim in question and, where possible, reference a named public source — such as a IEEE standard, a NIST publication, or a published dataset — that supports the proposed correction. Vague flags like "this seems wrong" without a named source citation are deprioritized.

2. Standards and regulatory scope questions
Include the relevant jurisdiction, the applicable body (e.g., SAE International for automotive standards, DO-178C for aerospace software, IEC 61508 for functional safety in industrial systems), and the specific clause or document version in question. The sensor-fusion-standards-us page covers the primary US regulatory and standards landscape as a reference baseline.

3. Industry, company, or institutional coverage requests
Requests to include or update entries on the sensor-fusion-companies-us or sensor-fusion-research-institutions-us pages must include the organization's full legal name, its primary public-facing URL, and the specific coverage category being requested (e.g., hardware platform manufacturer, middleware vendor, academic research group).

4. Career and workforce data inquiries
Questions tied to the sensor-fusion-careers-us page should reference the specific occupational classification, such as a Bureau of Labor Statistics SOC code, or a named certification body like IEEE, ISA (International Society of Automation), or INCOSE.

5. Algorithm or methodology scope disputes
Pages covering algorithmic topics — including particle-filter-sensor-fusion, bayesian-sensor-fusion, and deep-learning-sensor-fusion — follow published academic and standards-body definitions. Disputes should cite a peer-reviewed source, a named standards document, or a formal technical report from a named institution such as MIT Lincoln Laboratory, JPL, or DARPA.

Response expectations

Editorial review operates on a tiered priority model. Correction requests backed by a named public source citation receive first-priority review. Unsourced opinion submissions or general commentary enter a secondary queue with no guaranteed review window.

For coverage requests (companies, institutions, datasets), the standard review period runs 10 to 15 business days. High-volume periods — typically following major industry events such as the IEEE Intelligent Transportation Systems Conference or SPIE Defense + Commercial Sensing — may extend that window.

Requests that fall outside the scope of this reference property — such as requests for consulting, system integration referrals, or procurement advice — are outside this office's mandate and will not receive substantive replies. The how-to-get-help-for-sensor-fusion page addresses sourcing qualified professionals and service providers.

Additional contact options

For specific content domains, the following routing applies:

• Algorithm and software framework content: Reference the sensor-fusion-software-frameworks and ros-sensor-fusion pages before submitting, as the most frequent accuracy inquiries are addressed there directly.
• Dataset coverage: Inquiries about the sensor-fusion-datasets page should reference the dataset's official repository (e.g., KITTI, nuScenes, Waymo Open Dataset) and specify whether the request concerns classification, description accuracy, or a missing entry.
• Market and industry trend content: The sensor-fusion-market-trends page cites named market research bodies and government reports. Corrections must identify a specific named source — such as a published MarketsandMarkets, IDC, or Grand View Research report — with a publication year.

There is no telephone line associated with this office. All submissions are processed through written correspondence only.

How to reach this office

All written correspondence is routed through the domain's contact form, accessible at the base URL. The form accepts submissions in the following structured categories, which align directly to the inquiry types described above:

Each submission should be limited to a single inquiry type per message. Combined multi-topic messages are split into separate queue entries, which increases total processing time. Attachments referencing supporting documentation — such as a PDF of a relevant IEEE standard or a NIST Special Publication — are accepted in standard formats up to 10 MB.

Messages submitted without a clear subject category, without a specific named source, or without a page-level reference are deprioritized relative to structured submissions. The sensor-fusion-frequently-asked-questions page resolves a large share of common inquiries without requiring direct submission.