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Tags: Machine learning
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1–14 of 14 · Most stars

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

  • 3d-object-detection
  • lidar-point-cloud
  • bevmap
  • center

TranslatedImage-driven 3D scene generation system. Users provide a reference image and prompt words, and the system generates previewable, replayable, and traceable scene results according to the camera trajectory; official 3D demonstration assets allow direct viewing of color/depth animations and Gaussian point clouds in the browser. Image-driven 3D scene generation system

  • 3d
  • gaussian-filter
  • gaussian-splatting

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

  • semantic-segmentation
  • lidar
  • semantickitti
  • 3d-lidar-data

Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)

This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds

  • fiducial-markers
  • lidar
  • point-clouds
  • cassie