Mappedin started as a school project and evolved into a leading indoor mapping company, working with malls, airports, hospitals, and Fortune 500 companies.

You guessed, today's podcast is all about indoor mapping, why it's hard, what are the use cases driving it, what the state of the art looks like today and what we can expect in the future.

Key points discussed include:

1. **The Challenge of Indoor Mapping**: Unlike outdoor mapping, indoor environments are complex due to the density of objects and frequent changes. Moreover, indoor spaces are mostly private property, making it difficult to collect data comprehensively.

2. **Importance of Indoor Maps**: Despite the challenges, the need for indoor maps is growing. Applications range from wayfinding in malls and airports to optimizing logistics in warehouses and creating better guest experiences in various venues.

3. **Mappedins's Approach**: enabling non-experts to create and maintain indoor maps. Their tools are designed for everyday users, allowing them to update maps as easily as they would a document in Google Docs.

4. **Technological Advances**: While technologies like LiDAR and digital twins offer detailed 3D models, are they really practical? .

5. **Indoor Positioning**: Accurate indoor positioning is crucial for the success of indoor maps, similar to how GPS revolutionized outdoor mapping. However, this remains a challenging area due to signal interference and the complexity of indoor spaces.

6. **Future Outlook**: Digital indoor maps become as ubiquitous as Wi-Fi, providing essential data for various applications and improving overall user experience ... but we are not there yet!

Try Mappedin for yourself https://www.mappedin.com/

or connect with Hongwei here https://www.linkedin.com/in/hongweil/

Recommended Listening

Where does the blue dot come from ( how Google knows your location )

Hyper Accurate Indoor Location

Using the Geomagnetic fields of buildings to navigate indoors

I am working on a new project https://quickmaptools.com/ and would really appreciate some feedback!

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(270)

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