Official PyTorch implementation of 3D Gaussian Mapping (3DGM)
The dataset for the paper 'Learning self-supervised traversability with navigation experiences of mobile robots: A risk-aware self-training approach'
😎 A curated list of papers, tools, and libraries for traversability analysis and terrain classification in robotic navigation
Learning self-supervised traversability with navigation experiences of mobile robots: A risk-aware self-training approach (RA-L, 2024)
Range sensor-based 2.5D gridded height mapping (Digital Elevation Model) for urban terrain navigation of mobile robots
This repo contains implementation of semi-supervised defect segmentation based on pairwise similarity map consistency and ensemble-based cross pseudo labels
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