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Sensor2Sensor: Cross-Embodiment Sensor Conversion for Autonomous Driving research paper by Google, 2026

Google · May 21, 2026 · Multimodal and robotics · 1 citations · 25 upvotes · unverified

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What it shows

Sensor2Sensor generates high-fidelity multi-modal sensor data from in-the-wild dashcam videos using diffusion models and 4D Gaussian Splatting for autonomous driving system training and validation.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Jiahao Wang, Bo Sun, Yijing Bai and 12 more
arXiv
2605.22809 · PDF
Venue
arXiv.org
Citations
1, 0 influential · Semantic Scholar
Upvotes
25 · Hugging Face
Lab
Google · on Companies · on Acquisitions · on Paydays · on TechConf · on Releases

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 1Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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