Search Results for author:
Found 2 papers, 0 papers with code
LISNeRF Mapping: LiDAR-based Implicit Mapping via Semantic Neural Fields for Large-Scale 3D Scenes
Large-scale semantic mapping is crucial for outdoor autonomous agents to fulfill high-level tasks such as planning and navigation.
AirNet: a machine learning dataset for air quality forecasting
In this paper, we introduced a new dataset, entitled as AirNet, containing the 0. 25 degree resolution grid map of mainland China, with more than two years of continued air quality measurement and meteorological data.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
