HouseExpo

by Tingguang,Li and Danny,Ho and Chenming,Li and Delong,Zhu and Chaoqun,Wang and Max Q.-H. MengResearch Only

HouseExpo

HouseExpo is a large-scale dataset of indoor layout built on SUNCG dataset. The dataset contains 35,357 2D floor plans with 252,550 rooms in total, together with the category label of each room. PseudoSLAM is a high-speed OpenAI Gym-compatible simulation platform that simulates SLAM and the navigation process in an unknown 2D environment. It reads data from HouseExpo, creates the corresponding 2D environment and generates a mobile robot to carry on different tasks in this environment.

Dataset Attributes

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TasksRobot Training
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CategoriesIndoor, Floorplans, Robots, Slam, Routing
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SensorGraphics