Space-Mate: A 303.5mW Real-Time NeRF SLAM Processor with Sparse-Mixture-of-Experts-based Acceleration

Authors

Donghyeon Han (ORCID: https://orcid.org/0000-0002-5212-2072)
Seokchan Song (ORCID: https://orcid.org/0000-0002-4119-8936)
Hoi‐Jun Yoo (ORCID: https://orcid.org/0000-0002-6661-4879)
Dongseok Im (ORCID: https://orcid.org/0000-0002-5856-8921)
Haoyang Sang (ORCID: https://orcid.org/0000-0002-3959-5051)
Sangyeob Kim (ORCID: https://orcid.org/0000-0002-1783-5296)
Hongseok Lee (ORCID: https://orcid.org/0000-0003-0571-0522)

Publication Details

Published: 2024-08-25
DOI: https://doi.org/10.1109/hcs61935.2024.10664693
Primary Topic: Robotics and Sensor-Based Localization
Type: article
Field-Weighted Citation Impact: 0.00

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article

Space-Mate: A 303.5mW Real-Time NeRF SLAM Processor with Sparse-Mixture-of-Experts-based Acceleration

Donghyeon Han, Seokchan Song, Hoi‐Jun Yoo, Dongseok Im et al.

Aug 25, 2024

Robotics and Sensor-Based Localization

article

Space-Mate: A 303.5mW Real-Time NeRF SLAM Processor with Sparse-Mixture-of-Experts-based Acceleration

Donghyeon Han, Seokchan Song, Hoi‐Jun Yoo, Dongseok Im, Haoyang Sang, Sangyeob Kim, Hongseok Lee

August 25, 2024article en

Abstract

No abstract available for this paper.

Affordable and clean energy

Openalex Percentile: Top 77%

Robotics and Sensor-Based Localization

DOI Source OpenAlex

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Space-Mate: A 303.5mW Real-Time NeRF SLAM Processor with Sparse-Mixture-of-Experts-based Acceleration — Donghyeon Han, Seokchan Song, et al. · (2024) | TGRS Research Map | TGRS