Hi Harsh, This would be an amazing exercise indeed, and thanks so much for posting this open-ended question here. Sorry I didn't see this last month. Here's my wishlist:
1. Bus stop locations 2. Crossroad / T-point / Fork locations. These can help in figuring out the network in form of nodes. 3. 360-degree photos. Details on that below. *360-degree photos:* An NGO in Pune recently got a 360-degree camera <https://theta360.com/>. We spent a day playing with it, and learned how to post its photos and videos online for 360-degree viewing. It's tiny and fast, and has a cool remote-control feature from phone (so you can hoist it on a pole, see preview on tablet/phone and click a pic!). 360-degree shots can go a long way in resolving mapping confusions. Mapillary <https://mapillary.com> site is hosting such photos and has made them freely available for bringing on as a layer in OpenStreetMap.org when we are doing mapping. Google Earth also features a layer from 360cities.net, one can sign up there and upload shots. The 360-degree shot will capture a LOT of local visual information about the place that you can sit on later and churn - manually or feed it into a program. One drawback we found with our device (Theta S) was that we couldn't capture lat-long information with the photo itself. Rather, that would have to captured on a phone or something, and then the photo and location would need to be matched later. Also, this camera's photo quality wasn't good at high zooms - it may have been in the lower range, and there may be higher-quality cameras around. ------------ *GPS tracking:* Note that phone GPS's are notoriously inaccurate - it'll be a good investment to purchase dedicated GPS devices for this survey that can "plug" into a phone / tablet via cord or bluetooth and become the GPS source. Linking some articles than may help in this regard. https://mashtips.com/best-external-gps-receivers/amp/ http://nerdynerdnerdz.com/4053/pair-external-bluetooth-gps-receiver-with-android-for-superior-navigation/ https://bigdanzblog.wordpress.com/2015/01/18/connecting-u-blox-neo-6m-gps-to-raspberry-pi/ -> if someone wants to go full IoT. All the best for this project, and try to get something released as open data! Nikhil VJ Pune, India On Wednesday, November 28, 2018 at 5:29:24 PM UTC+5:30, Harsh Nisar wrote: > > Hello, > > There is a proposed exercise in which every rural road constructed under > PMGSY in India is going to be visited for *something*. > > As you can imagine it's a massive exercise - what additional data can be > collected during the visit which could be useful for any future evaluation, > machine learning problem , or something else creative etc. > > Eg. visual inspection of road, streetlights, road side plantation etc. > It's only an auxilliary data collection so it can't be intensive, time > consuming or require specific training. > > Additionally, each roads satellite imagery is being looked at by a manual > person. What can be done in this case as well? Data annotation etc? Putting > it differently, what else would you ask this person to do while looking at > each road's imagery? > > Happy to provide more clarity off-thread. > > Regards, > Harsh > -- Datameet is a community of Data Science enthusiasts in India. Know more about us by visiting http://datameet.org --- You received this message because you are subscribed to the Google Groups "datameet" group. To unsubscribe from this group and stop receiving emails from it, send an email to datameet+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
