Mapping Your Own World: Open Drones and Localized AI
Failed to add items
Sorry, we are unable to add the item because your shopping cart is already at capacity.
Add to basket failed.
Please try again later
Add to Wish List failed.
Please try again later
Remove from Wish List failed.
Please try again later
Follow podcast failed
Unfollow podcast failed
Mapping Your Own World: Open Drones and Localized AI
-
Narrated by:
-
By:
About this listen
What if communities could map their own worlds using low-cost drones and open AI models instead of waiting for expensive satellite imagery?
In this episode with Leen from HOT (Humanitarian OpenStreetMap Team), we explore how they're putting open mapping tools directly into communities' hands—from $500 drones that fly in parallel to create high-resolution imagery across massive areas, to predictive models that speed up feature extraction without replacing human judgment.
Key topics:
- Why local knowledge beats perfect accuracy
- The drone tasking system: how multiple pilots map 80+ square kilometers simultaneously
- AI-assisted mapping with humans in the loop at every step
- Localizing AI models so they actually understand what buildings in Chad or Papua New Guinea look like
- The platform approach: plugging in models for trees, roads, rooftop material, waste detection, whatever communities need
- The tension between speed and OpenStreetMap's principles
- Why mapping is ultimately a power game—and who decides what's on the map
No reviews yet
In the spirit of reconciliation, Audible acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.