Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
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Updated
Nov 20, 2024 - Python
Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
Landcover classification using the fusion of HSI and LiDAR data.
Official implementation of the paper "AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans"
ML Projects and Experience in Industry and Academia.
Code for Reproducibility of Generalized 3D Fragmentation Index Paper (Petras et al. 2017)
Official implementation of LidarGSU
Provide 20+ essential developer tools in a fast, offline web app with dark mode and responsive design for efficient coding tasks.
Petras, 2018: Dissertation Defense Presentation
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