GRVIO: Semantic-Aware Visual-Inertial Odometry for Ground Robot Platforms
Visual-inertial odometry (VIO) has emerged as a key technology for state estimation of mobile robots by complementarily fusing data from a lightweight, low-cost inertial measurement unit and a camera. However, ground robots face significant challenges that degrade VIO performance, including texturel...
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| Main Authors: | Sangbum Lee, Hanyeol Lee, Chan Gook Park |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11124869/ |
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