RGB-D Object SLAM Using Quadrics for Indoor Environments
Indoor service robots need to build an object-centric semantic map to understand and execute human instructions. Conventional visual simultaneous localization and mapping (SLAM) systems build a map using geometric features such as points, lines, and planes as landmarks. However, they lack a semantic...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/18/5150 |