A Tandon VIP program that dedicated on utilizing aerial LiDAR(Light Detection and Ranging) for constructing data regarding pavement in NYC.
LiDAR point cloud visualization
Point cloud colored by elevation.
Large scale LiDAR data in sunset park, 4th Ave.
4th Ave, 61-62 street
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I first experimented with computing normals and Poisson Surface Reconstruction in CompareCloud, and the result was miserable.
I then replaced Poisson Surface Reconstruction with Delaunay 2.5D, but the result stl file has file size around 1.5 GB, it’s way to heavy for any 3D print to be run
I then tried to use simply projection rastering, the model turned out better, but need de-noise
result is a bit better, but the trade off is the amount of detail lost.
Denoise process:
Eventually I found out that since the LiDAR file isn't meant for 3D model, but for pavement analyze, so the side profile of a building is lack of data, thus unable to construct a detailed, or at least clean 3D mesh. Thus I changed and went for https://map2model.com. Which gives me a simplified but clean, and I suppose more accurate model in seconds.
potential alternative: https://cadmapper.com/#metro
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4th ave, 61st/62nd st
dx = 4.0 # mm (X pitch) dy = 2.25 # mm (Y pitch)
⇒ whole screen: 36.0 mm (width) 76.5mm (height)
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Adafruit HUZZAH32 - ESP32 Feather
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