2,418 karma · joined March 8, 2017
However, there is no public data on traffic light timing in Sydney or NSW.
I built this little React site to crowdsource measurements and inform where positive changes could be made - Sydney focused, but works anywhere in the world if you'd like to make use of it/fork it!
Yes we do! It's called Lemmy - it's built on ActivityPub, is Mastodon compatible, and people actually use it!
Knowing HN users, I don't know why Lemmy hasn't been all over the front page. It works brilliantly.
https://mastodon.social/@jonty@chaos.social/1103075321453803...
Aren’t the escalator and staircase crossovers a beautiful symmetrical pattern? I had no idea that’s how they were arranged - it's not obvious in person. I think it’s a wonderful way to visualise architecture.
Let me know if you have any questions - I'm definitely no Blender expert but it's good fun to use!
Beeper originated out of their troubles getting messaging on the Pebble working.
> “We really wanted Pebble to be able to send iMessages, but we could never figure out a way to do it because there’s no API for iMessage,” he explains. But the idea for Beeper came to a head two years ago when he learned about a protocol called Matrix. “All of Beeper is built on top of Matrix, which is this open-source federated, encrypted messaging protocol,” he says.
https://techcrunch.com/2021/01/21/pebble-founder-launches-be...
> Note: the full model on GPU (16GB of RAM required) performs much better in our qualitative evaluations.
Is there a download for a trained full model?
It would also be interesting to see the distribution of `bus_stop`'s with shelter and seat (full service) verses just a pole. Maybe amenity=shelter or covered=yes - I'm unsure if they're usually on the same node or a separate node (within x many metres).
In Australia there's a considerable variation of bus stop quality. There might be some interesting insights into where the minimum effort bus stops are (council/gov boundaries? transit deserts? who knows.)
I'm not aware of an OSM/open place to store/contribute pointclouds though - please let me know if you come across one!
I agree! I've heard of "cheap" lidar scanners (Intel Lidar Camera L515 for $375 apparently [1], or [2]) but the act of turning real time depth measurements from a UART output into a 3D model (or even just a coloured pointcloud) is no simple task!
The Intel one does appear to have been discontinued: https://www.therobotreport.com/intel-issues-end-of-life-noti...
Something that may scratch the itch though - I've thought it would be cool to build a bicycle mounted, microcontroller-controlled servo mount for an iPhone which moves it back and forth to increase the the width of scanned area (I assume a sine wave).
[1]: https://old.reddit.com/r/robotics/comments/liudco/where_to_g...
[2]: https://www.leishenlidar.com/product/m10-low-cost-tof-lidar-...
> it usually entails flying low enough to annoy your neighbors
In my experience the higher the better - you can get a really nice model from 120m (legal limit in Australia).
I'll improve the background/design of the subscribe block when I have some free time.
Yep I agree - I would call it orthorectified georeferenced imagery but unless you're in the GIS/OSM space you probably don't know what that means. I agree that "birds-eye" would have been a good alternative.
Satellite imagery is technically incorrect whether it's from a iPhone or a plane but that's what most people call it and know it by. (I love this thread on how "satellite" almost became known as "bird mode": https://twitter.com/btaylor/status/1099370126678253569)
I chose aerial imagery as an in-between - understandable to everyone, still not correct but less incorrect than satellite imagery.
Yep that should be possible - as long as you flow below 5 metres though!
If you have a drone and are somewhere that is legal & safe to fly, photogrammetry (3d model from just visual photos) will likely give a better result than relying on the iPhone LiDAR stitching.
Set the drone image self timer to 2 seconds, fly around for a bit and then upload all the photos into WebODM: https://opendronemap.org/webodm/
You can run it on your local machine (see instructions in blog post) or hosted for a fee. It creates brilliant models and is a lot of fun!
This capture was just holding an iPhone in my hand - but you can place it on the front of a bicycle too.
The Apple ARKit part handles the SLAM [1] of fusing the camera/LiDAR/gyro and possibly GPS.
[1]: https://en.wikipedia.org/wiki/Simultaneous_localization_and_...
Usually this is easier with drones, but there are a lot of places you can't fly drones. I hope this guide comes in helpful, especially if you're contributing to OpenStreetMap.
I've found you can strap an iPhone to the front of a bicycle and if you go slowly the 3D models/LiDAR point clouds are quite good (it has a 5m range). There are drift issues if you try to complete loops though.
> And there’s a negativity bias. “People who have trouble finding parking always talk about it,” Grabar notes. “But people who just walk right in—or bike in—will not talk about it.” So storeowners will understandably build up a sense of parking as an out-of-control problem, while the uptick in pedestrians or cyclists may not register.
Maybe it's easier to define what I don't mean by a "generic slippy map": https://play.abstreet.org/0.3.37/abstreet.html
This website is effectively a very powerful game engine (written in Rust and compiled to wasm) running in the browser - I can't easily add a GeoJSON ovrlay, or geolocation, or other web map patterns.
The "street explorer" demo (https://a-b-street.github.io/osm2streets/#18.37/-33.88071/15...) loads a slippy map (OpenStreetMap) and then loads in a debug segment of the map data.
https://safecyclingmap.com is currently using Mapbox GL JS because I wanted to tinker with the Mapbox Directions API and geocoding. It also works great with Maplibre GL JS, I've got a branch ready to go: https://github.com/jakecoppinger/safe-cycling-map/tree/mapli...
The replies are also correct - I'm using the CyclOSM tiles (https://www.cyclosm.org), and the lane shapes are generated by osm2streets, which Dustin Carlino (https://github.com/dabreegster) wrote in Rust! (https://github.com/a-b-street/osm2streets).
That should be possible - I’ll need to try forwarding Overpass queries to a public server covering the entire world when requests are outside Aus (and make sure the traffic isn’t too high!)
All open source and GPLv3 if you’re interested in contributing!
A detailed comparison spreadsheet with ordered scoring: https://docs.google.com/spreadsheets/d/1-UlA4-tslROBDS9IqHal...