AutonomousVehicleControlBeginnersGuide
Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.
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Trouve les domaines d’études qui te correspondent à partir de tes activités numériques et d’un bref questionnaire. Tes données restent dans ton navigateur.
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教育TypeScript · JavaScriptGitHub @moritzlauper直近の接続確認に失敗しました所有者未確認
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Find what to study from what you watch, read and build
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Find what to study from what you actually watch, read and build. The site reads
thousands of signals from a person's YouTube, Google Takeout, Spotify, Reddit and
GitHub, adds a short validated questionnaire (RIASEC interests, Mini-IPIP Big
Five, school subjects, values), matches them to 80 fields of study and then to
real programmes in Switzerland, Germany, Austria, the US, the UK, France and,
through research profiles and a university directory, 60+ more countries.Read the full README ↗Find a programme at a specific university with a short questionnaire, optionally supplemented by your own data. The questionnaire covers RIASEC interests (four custom items per area plus an attention check), school subjects and values; the 20 Mini-IPIP Big Five items are optional. Results are available with at least two interest answers per area or imported data, without personality answers. Personality remains a questionnaire step and counts towards the overall progress (67 entries, including optional questions). The custom interest scale is not yet validated in a study. Results rank 80 fields to programmes in the available country datasets. Germany and Austria currently link to official programme searches; their own programme readers are pending. The paid report reveals the best field and programme and offers an optional AI comparison of programme pages with the person's profile.
Professional documentation: /fachinformationen on country sites
(/schweiz/fachinformationen locally), /professional on the global site.
The manual covers administration, scoring, item keys, evidence status, data
flows and retention, adviser self-study, and a proposed validation protocol.
It does not claim psychometric validation or institutional approval.
No representative German-speaking norms have been established for this
implementation. Big Five results therefore show reverse-keyed item means
(1–5), requiring all 20 valid responses, rather than approximate percentiles.
In questionnaire mode personality affects neither the field ranking nor hidden
suggestions or their reasons. Old shared profiles without means are not
converted into new scores. The personal AI endpoint requires consent: true
in addition to the existing paid access check.
Separate questionnaire session: /beratung on country sites
(/schweiz/beratung locally), /counselling globally. Available from the manual,
teacher and organisation pages. It starts empty, uses tab memory only and shows
descriptive profiles after all 45 activities and at least ten school subjects. It does not mount imports,
personal AI, measurement or organisation capture, and does not expose the paid
programme ranking. Entry uses a full page navigation to unload previously loaded
scripts. Explicit print/JSON copies are personal data; ending a session does not
delete downloaded files. Page requests and hosting logs still require review.
Research preparation: evidence log,
pilot protocol, research decisions and
unresolved rights, and
institutional dossier.
npm run validation:bundle records exact forms for each language, scoring/source
checksums and an unreviewed field-profile template. Review version IDs before
regenerating; npm run validation:check (also in tests) detects drift. Keep
completed independent reviews separately from the generated template.
Catalogue releases must be archived separately before a study. Result wire
version 1 is unchanged; new method metadata identifies the procedure, while
old shared links without it remain unversioned. Its locale is the current display
language, not proof of the language used for older saved responses. No external test items, norms
or restricted research datasets were adopted, and no study has been launched.
Four sites from one codebase: the global English site and three German-language
country sites: wasstudieren for Switzerland (wasstudieren.ch), findemeinstudium
for Germany (findemeinstudium.de) and wasstudieren for Austria (wasstudieren.at).
The Swiss site's French and Italian versions are called whatshouldistudy and
live at whatshouldistudy.ch/fr and /it. Each country site lists the degree
programmes of its own universities and universities of applied sciences and
leads with them. Without a domain set they
live at /schweiz, /deutschland and /oesterreich.
The app serves at the domain root. WSIS_BASE_PATH mounts it under a path
instead (see Deploy on Vercel). The Swiss site also speaks French (/fr) and
Italian (/it) on its own domain; a switch in its header leads to the same page
in German, French, Italian or, on the global site, English.
The field results are free. The full programme list (every matching programme with the fee for the student's citizenship, earnings, admission rates, filters, CSV) is a one-time payment.
Was arbeiten? — free Swiss job explorer. The results page links to
/wasarbeiten (or /schweiz/wasarbeiten under the global domain). It reuses
the same browser-local questionnaire and effective interest summaries, including
an already enabled content analysis. No new upload, AI call, payment or profile
transmission is needed. Shared results are not imported into the viewer's profile.
The study paywall and its endpoints remain separate.
The page combines 25 editorial career directions with current Swiss job adverts. Career suggestions compare activity interests, enjoyed school subjects, work priorities and existing interest summaries; they do not assess qualifications. Employer fit compares the preferred city, work arrangement and sector with one specific opening. It neither invents a company culture nor combines conditions from different vacancies. Extra preferences live in the existing site store and are removed by its normal data deletion. Interface text is available in DE/EN/FR/IT.
This is the beginning of the README. Read the rest at the original. Read the full README ↗