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- W2794616326 abstract "Inferring walls configuration of indoor environment could help robot understand the environment better. This allows the robot to execute a task that involves inter-room navigation, such as picking an object in the kitchen. In this paper, we present a method to inferring walls configuration from a moving RGB-D sensor. Our goal is to combine a simple wall configuration model and fast wall detection method in order to get a system that works online, is real-time, and does not need a Manhattan World assumption. We tested our preliminary work, i.e. wall detection and measurement from moving RGB-D sensor, with MIT Stata Center Dataset. The performance of our method is reported in terms of accuracy and speed of execution." @default.
- W2794616326 created "2018-04-06" @default.
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- W2794616326 date "2018-03-28" @default.
- W2794616326 modified "2023-09-27" @default.
- W2794616326 title "Mapping Walls of Indoor Environment using RGB-D Sensor" @default.
- W2794616326 hasPublicationYear "2018" @default.
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