基于osm/其他地图的open-vocabulary的scene graph的构建,目标产出物可以是基于地图的coarse sdf,coarse mesh,hierarchical scene graph。用途:GIS数据基于VLM/LLM的分析,定位/重定位,规划。
base:
- open vocablary
- scene graph generation
- coarse sdf,coarse mesh,hierarchical scene graph
阅读笔记:
- GeoLLM:3, 5, 12, 13, 14, 15, 16
- 3D SGG: 10, 11
- localization: 4, 6, 7, 8
- GeoCV: 15, 16, 17, 24
- UAM: 20, 21, 22, 23
- diffusion model
- Optimal Transport
references(直接跳转文献链接):
- Empowering Robotics with Large Language Models: osmAG Map Comprehension with LLMs
- OpenStreetMap-based LiDAR Global Localizationin Urban Environment without a Prior LiDAR Map
- GeoLLM: Extracting Geospatial Knowledge from Large Language Models
- Efficient Localisation Using Images and OpenStreetMaps
- OrienterNet: Visual Localization in 2D Public Maps with Neural Matching
- OpenStreetSLAM: Global Vehicle Localization Using OpenStreetMaps
- Awesome Geospatial
- ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning
- Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation
- UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction
- On the Opportunities and Challenges of Foundation Models for GeoAI
- URBAN GENERATIVE INTELLIGENCE (UGI): A FOUNDATIONAL PLATFORM FOR AGENTS IN EMBODIED CITY ENVIRONMENT
- Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs
- GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots
- OmniCity: Omnipotent City Understanding with Multi-level and Multi-view Images
- BlockPlanner: City Block Generation with Vectorized Graph Representation
- GeoLocator: a location-integrated large multimodal model for inferring geo-privacy.
其他:
- NASA concept vehicles and the engineering of advancedair mobility aircraft, 2022
- A Proposed Taxonomy for Advanced Air Mobility, 2022
- Advanced Air Mobility and Evolution of Mobile Networks, 2023
- Designing airspace for urban air mobility: A review of concepts and approaches, 2021
- CityNav: Language-Goal Aerial Navigation Dataset with Geographic Information