Popular GitHub Repositories for Mapping

POT : Python Optimal Transport

A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain

Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code.

视觉(语义) SLAM 相关研究跟踪

Robot-centric elevation mapping for rough terrain navigation

Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.

This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.

LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic

Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.

[IROS 2020] EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association

[ICLR 2024] Map Learning with Lane Segment for Autonomous Driving

A flexible submap-based framework towards spatio-temporally consistent volumetric mapping and scene understanding.

RXNMapper: Unsupervised attention-guided atom-mapping. Code complementing our Science Advances publication on "Extraction of organic chemistry grammar from unsupervised learning of chemical reactions" (https://advances.sciencemag.org/content/7/15/eabe4166).

Semantic LIDAR odometry and mapping for cylinderical objects (e.g. trees in forests)

DeepTAM: Deep Tracking and Mapping https://lmb.informatik.uni-freiburg.de/people/zhouh/deeptam/

Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024

Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"

Implementation of IROS20 paper - "Semantic Graph Based Place Recognition for 3D Point Clouds"

TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation

[CVPR2019 Oral] Self-supervised Point Cloud Map Estimation