Schalal

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:

  1. open vocablary
  2. scene graph generation
  3. coarse sdf,coarse mesh,hierarchical scene graph

阅读笔记:

references(直接跳转文献链接):

  1. Empowering Robotics with Large Language Models: osmAG Map Comprehension with LLMs
  2. OpenStreetMap-based LiDAR Global Localizationin Urban Environment without a Prior LiDAR Map
  3. GeoLLM: Extracting Geospatial Knowledge from Large Language Models
  4. Efficient Localisation Using Images and OpenStreetMaps
  5. OrienterNet: Visual Localization in 2D Public Maps with Neural Matching
  6. OpenStreetSLAM: Global Vehicle Localization Using OpenStreetMaps
  7. Awesome Geospatial
  8. ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning
  9. Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation
  10. UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction
  11. On the Opportunities and Challenges of Foundation Models for GeoAI
  12. URBAN GENERATIVE INTELLIGENCE (UGI): A FOUNDATIONAL PLATFORM FOR AGENTS IN EMBODIED CITY ENVIRONMENT
  13. Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs
  14. GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots
  15. OmniCity: Omnipotent City Understanding with Multi-level and Multi-view Images
  16. BlockPlanner: City Block Generation with Vectorized Graph Representation
  17. GeoLocator: a location-integrated large multimodal model for inferring geo-privacy.

其他:

  1. NASA concept vehicles and the engineering of advancedair mobility aircraft, 2022
  2. A Proposed Taxonomy for Advanced Air Mobility, 2022
  3. Advanced Air Mobility and Evolution of Mobile Networks, 2023
  4. Designing airspace for urban air mobility: A review of concepts and approaches, 2021
  5. CityNav: Language-Goal Aerial Navigation Dataset with Geographic Information