Finding Stuff Indoors

Finding Stuff Indoors

Author: MapScaping May 16, 2024 Duration: 49:37
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!             

The MapScaping Podcast delves into the intricate world where geography meets data. This isn't about static paper maps, but the dynamic, digital systems that help us understand our planet. Each conversation focuses on the practical and the visionary within GIS, geospatial technology, remote sensing, and earth observation. You'll hear directly from the cartographers, data scientists, software developers, and analysts who are building the tools and interpreting the information that defines modern digital geography. The discussions explore how satellite imagery is used, how location intelligence solves complex problems, and where the technology is headed next. For professionals, students, or anyone fascinated by how we chart and comprehend our world, this podcast offers a grounded look at a field that is constantly redrawing its own boundaries. Tune in to The MapScaping Podcast for insights that are as much about the people and ideas shaping this space as they are about the technology itself. It's a consistent source for those who think spatially, providing depth and context that goes beyond the software interface. Listen to find out how the hidden structures of geospatial data influence everything from urban planning and environmental conservation to business logistics and everyday apps.
Author: Language: English Episodes: 100

The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography
Podcast Episodes
Using Lasers To Talk To Satellites [not-audio_url] [/not-audio_url]

Duration: 44:51
How do we get data from a satellite down to Earth? How do we task a satellite? Today the answer is likely to be via radios and a system of downlink sites or ground stations. As the satellites pass overhead or within “lin…
From Pixels to Patterns: AI in Spatial Analysis [not-audio_url] [/not-audio_url]

Duration: 1:05:50
There is a general understanding that it is becoming increasingly difficult to extract meaning from all the data we are collecting without using AI. But what is AI, and how did we end up in a situation where it is identi…
pygeoapi - A Python Geospatial Server [not-audio_url] [/not-audio_url]

Duration: 37:03
PYGEOAPI is a Python server implementation of the OGC API suite of standards ... which might be really useful if you are thinking about upgrading from the first-generation OGC standards to the second-generation OGC stand…
Big Data In The Browser [not-audio_url] [/not-audio_url]

Duration: 57:17
So why would anyone want to put alot of data into a browser? Well, for a lot of the same reasons that edge computing and distributed computing have become so popular. You get the data a lot closer to the user and you don…
Rasters In A Database? [not-audio_url] [/not-audio_url]

Duration: 34:21
Sounds like a great idea right? In this episode, Paul Ramsey explains why you shouldn't ... unless you want to ... and how you can ... if you have to. You can find Paul's blog here: http://blog.cleverelephant.ca/about So…
Spatial Knowledge Graphs [not-audio_url] [/not-audio_url]

Duration: 32:04
A knowledge graph is a network of relationships between real work entities and in this episode, you will learn how and why knowledge graphs might be a better choice than spatial joins! Further listening! The H3 Indexing…
ChatGPT and Large Language Models [not-audio_url] [/not-audio_url]

Duration: 50:13
I am sure you have heard of ChatGPT by now so the hope of this episode is to give you some more context about what is it built on and how it works. To do that I invited Daniel Whitneck back on the podcast You can connect…
Computer Vision and GeoAI [not-audio_url] [/not-audio_url]

Duration: 37:58
Computer vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images. You might think that this is exactly what we are doing in earth observat…
Designing for Location Privacy [not-audio_url] [/not-audio_url]

Duration: 42:18
Data is what data does - more about that later on ;) This episode focuses on designing for privacy, how do we create value from location data without sacrificing personal privacy? Well, you might start by adhering to the…
Hyperspectral vs Multispectral [not-audio_url] [/not-audio_url]

Duration: 38:46
When comparing multispectral and hyperspectral data it is not simply a case of “more data more better”! With hyperspectral you have “The curse of Dimensionality” but you also get more flexibility to pick exactly what ban…