Robust Object-based SLAM for High-speed Autonomous Navigation

Robust Object-based SLAM for High-speed Autonomous Navigation

We present Robust Object-based SLAM for High-speed Autonomous Navigation (ROSHAN), a novel approach to object-level mapping suitable for autonomous navigation. In ROSHAN, we represent objects as ellipsoids and infer their parameters using three sources of information - bounding box detections, image...

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Bibliographic Details
Main Authors: Ok, Kyel, Liu, Katherine Y, Frey, Kristoffer M. (Kristoffer Martin), How, Jonathan P, Roy, Nicholas
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2021
Online Access:https://hdl.handle.net/1721.1/130015

Internet

https://hdl.handle.net/1721.1/130015

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