AdobeIndoorNav
Introduced by Mo et al. in The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation
AdobeIndoorNav is a dataset collected in real-world to facilitate the research in DRL based visual navigation. The dataset includes 3D reconstruction for real-world scenes as well as densely captured real 2D images from the scenes. It provides high-quality visual inputs with real-world scene complexity to the robot at dense grid locations.
Papers
| Paper | Code | Results | Date | Stars |
|---|
