slam
Datasets
All datasets matching “slam”hilti-slam-challenge-2022
Hilti SLAM Challenge 2022
The Hilti SLAM Challenge 2022 dataset is a multimodal robotics benchmark for evaluating simultaneous localization and mapping (SLAM) and sensor-fusion systems in challenging real-world environments.
The dataset was recorded with the handheld Phasma sensor platform at an active construction site in Schaan, Liechtenstein, and at the historic Sheldonian Theatre in Oxford, United Kingdom. The sequences include multi-level construction environments… See the full description on the dataset page: https://huggingface.co/datasets/Hilti-Research/hilti-slam-challenge-2022.Belle_1.4M-SLAM-Omni
Belle_1.4M
This dataset is prepared for the reproduction of SLAM-Omni.
This is a multi-round Chinese spoken dialogue training dataset. For code and usage examples, please refer to the related GitHub repository: X-LANCE/SLAM-LLM (examples/s2s)
🔧 Modifications
Data Filtering: We removed samples with excessively long data.
Speech Response Tokens: We used CosyVoice to synthesize corresponding semantic speech tokens for the speech response. These tokens, represented as… See the full description on the dataset page: https://huggingface.co/datasets/worstchan/Belle_1.4M-SLAM-Omni.hilti-slam-challenge-2023
Hilti SLAM Challenge 2023
The Hilti SLAM Challenge 2023 dataset is a multimodal robotics benchmark for evaluating simultaneous localization and mapping (SLAM) and sensor-fusion systems in challenging, real-world construction environments.
The 2023 challenge extends the previous Hilti SLAM benchmarks to multi-session and multi-platform SLAM. Recordings were collected across multiple active construction sites, with overlapping trajectories captured during different sessions and… See the full description on the dataset page: https://huggingface.co/datasets/Hilti-Research/hilti-slam-challenge-2023.UltraChat-300K-SLAM-Omni
UltraChat-300K
This dataset is prepared for the reproduction of SLAM-Omni.
This is a multi-round English spoken dialogue training dataset. For code and usage examples, please refer to the related GitHub repository: X-LANCE/SLAM-LLM (examples/s2s)
🔧 Modifications
Data Filtering: We removed samples with excessively long data.
Speech Response Tokens: We used CosyVoice to synthesize corresponding semantic speech tokens for the speech response. These tokens, represented as… See the full description on the dataset page: https://huggingface.co/datasets/worstchan/UltraChat-300K-SLAM-Omni.Replica-SLAMmonado-slam-datasets📄 arXiv – 🎥 video – ⬇️ get – 📊 results – 📖 cite – 💬 contact
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Monado SLAM Datasets
The Monado SLAM datasets
(MSD), are
challenging egocentric visual-inertial (VI) datasets recorded from VR headsets
to improve state-of-the-art VI-SLAM systems. They were originally developed to
improve the open-source inside-out tracking component of the
Monado project but its applicability is not limited to the
XR field. The dataset has a permissive license CC-BY
4.0… See the full description on the dataset page: https://huggingface.co/datasets/collabora/monado-slam-datasets.