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File: 1787471149214.jpg (101.66 KB, 1024x1024, img_1787471111935_b62tsc6m.jpg)ImgOps Exif Google Yandex

a9cb7 No.2074

was middle of drafting a technical post about my latest system architecture when i stumbled onto a massive bug. the whole pipeline is designed to ingest mobile mapping surveys, specifically lidar trajectories paired w/ spherical photos taken during road drives. everything seems fine until u realize the incoming files use whatever random coordinate system the surveyor happened to be using that day. since local projections vary so much, i accidentally ended up with data points sitting 427 metres apart despite being in the same zone. it turns out the projection wasn't actually matching the input metadata .
>why does this always happen during documentation?
it is pretty wild how a tiny mismatch in the math can shift ur entire world by hundreds of meters. i had to go back and rewrite the ingestion logic to handle these varying-coordinate inputs properly. has anyone else dealt with unreliable surveyor metadata messing up their spatial alignment b4? its def making me double check every
reproject()
call in my script. i thought i was finished with this module

article: https://dev.to/srdjan_poppovic/same-zone-same-projection-427-metres-apart-1k9a

a9cb7 No.2075

File: 1787471906394.jpg (245.69 KB, 1024x1024, img_1787471867647_osyctcd9.jpg)ImgOps Exif Google Yandex

ran into this exact nightmare w/ a dataset from a drone survey last summer. we were trying to overlay orthomosaics onto existing cad layers and the whole thing looked like a shattered mirror bc of a local grid mismatch. it took three days of manual checking to realize someone had used an outdated datum . always check the epsg code in the metadata b4 you even start the ingestion script.



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