computer science

KartaView

KartaView is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand KartaView rather than just read about it. In short: KartaView, formerly called OpenStreetView and OpenStreetCam, is a project to collect crowdsourced street-level photographs for improving OpenStreetMap operated by Grab Holdings. Collected imagery is published under a CC BY-SA license and while some of the project's code is released as open source, much of it (most notably, the mobile app) still require proprietary software to function.

Key takeaways

KartaView belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect KartaView to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of KartaView from memory before moving on to harder problems.

Reference excerpt

KartaView, formerly called OpenStreetView and OpenStreetCam, is a project to collect crowdsourced street-level photographs for improving OpenStreetMap operated by Grab Holdings. Collected imagery is published under a CC BY-SA license and while some of the project's code is released as open source, much of it (most notably, the mobile app) still require proprietary software to function. This is one of the few alternative platforms that offer street view like Google. Contributors gather imagery with their smartphones using an Android or iOS app. It is also possible to upload images captured with other cameras. The KartaView app supports using an OBD-II dongle plugged into the vehicle; in concert with the mobile device's GPS, KartaView can derive more accurate image locations. The app also recognizes and processes street signs in real time while capturing imagery. Once the imagery is recorded, it is uploaded, processed, and published to the website. OpenStreetMap editors can access KartaView images using the iD editor or JOSM plugin. KartaView's purpose resembles that of Mapillary. The main difference between the two is that KartaView's web and mobile apps are at least partially open-source (although no functioning open-source app can be built at least since December 2017, due to requirement of other proprietary components), whereas Mapillary mobile app does not open source even that. KartaView also makes it easier for user to delete their uploaded photos in case they change their mind about contributing.

History KartaView was founded in 2009 as OpenStreetView. In 2016, TeleNav took over the openstreetview.org domain and started its own service under the name. The service was renamed to OpenStreetCam after an intervention by an unnamed trademark holder. On December 12, 2019, TeleNav sold OpenStreetCam to Grab Holdings for an undisclosed amount. In November 2020, OpenStreetCam became KartaView.

References

External links Official website KartaView on OSM wiki - OpenStreetMap's information page about KartaView

Worked examples

Example 1 — a first encounter with KartaView

Start with the simplest possible case. Write down what KartaView claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to KartaView before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about KartaView ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of KartaView

In research: KartaView appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses KartaView in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: KartaView is common in secondary-school and first-year university syllabi. It links to neighbouring topics Android (operating system) software, IOS software, Internet properties established in 2009, so understanding it makes those chapters shorter.
In everyday life: Look for KartaView outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study KartaView in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what KartaView means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain KartaView out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is KartaView in simple terms?

Why does KartaView matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study KartaView?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on KartaView.