Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
-
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)
Petras, 2018: Dissertation Defense Presentation
Add a description, image, and links to the lidar-point-clouds topic page so that developers can more easily learn about it.
To associate your repository with the lidar-point-clouds topic, visit your repo's landing page and select "manage topics."