·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Replit is no longer working with Anthropic, CEO says2h◆Roundtables: A Conversation With the Creator of AI-Designed Viruses5h◆India becomes the latest country to report rogue AI agent activity5h◆An Nvidia insider-turned-VC on why robotics hasn’t hit its ChatGPT moment, yet7h◆Physical AI is more than robots, says the Nvidia veteran now investing in it7h◆Elorian’s first AI model wants to reason with images, not just about them7h◆Jev is Vercel’s fastest-adopted AI model ever8h◆A week with RTX Spark: everything we’ve learned using Nvidia’s new laptops8h◆Mark Wahlberg on using AI in film ‘the right way’ and being open to an AI clone carrying on his legacy9h◆Meta’s new terms may allow it to train AI on news sites for free9h◆Veritas expands its anti-counterfeit chip to jewelry, trophies, and fragrance bottles9h◆Replit’s CEO says the future of work is the ‘self-driving company’10h◆Optimal Hydra: Model Heterogeneous Federated Learning for LLMs using Data-Informed Hydra-Nets19h◆Judging the Judges: Confidence and Disagreement in Rubrics as Rewards19h◆Content associations with answer selection and engagement in supply chain community question answering19h◆ORACLE-SWE: Quantifying the Contribution of Critical Information Signals on SWE Agents19h◆REKI: Registering Knowledge in VLAs19h◆Multimodal Remote Inference19h◆HyCo: Hybrid Drafting for Cost-Efficient Mobile-Cloud Speculative Decoding19h◆Arithmetic Circuits and Neural Networks for Regular Matroids19h◆Replit is no longer working with Anthropic, CEO says2h◆Roundtables: A Conversation With the Creator of AI-Designed Viruses5h◆India becomes the latest country to report rogue AI agent activity5h◆An Nvidia insider-turned-VC on why robotics hasn’t hit its ChatGPT moment, yet7h◆Physical AI is more than robots, says the Nvidia veteran now investing in it7h◆Elorian’s first AI model wants to reason with images, not just about them7h◆Jev is Vercel’s fastest-adopted AI model ever8h◆A week with RTX Spark: everything we’ve learned using Nvidia’s new laptops8h◆Mark Wahlberg on using AI in film ‘the right way’ and being open to an AI clone carrying on his legacy9h◆Meta’s new terms may allow it to train AI on news sites for free9h◆Veritas expands its anti-counterfeit chip to jewelry, trophies, and fragrance bottles9h◆Replit’s CEO says the future of work is the ‘self-driving company’10h◆Optimal Hydra: Model Heterogeneous Federated Learning for LLMs using Data-Informed Hydra-Nets19h◆Judging the Judges: Confidence and Disagreement in Rubrics as Rewards19h◆Content associations with answer selection and engagement in supply chain community question answering19h◆ORACLE-SWE: Quantifying the Contribution of Critical Information Signals on SWE Agents19h◆REKI: Registering Knowledge in VLAs19h◆Multimodal Remote Inference19h◆HyCo: Hybrid Drafting for Cost-Efficient Mobile-Cloud Speculative Decoding19h◆Arithmetic Circuits and Neural Networks for Regular Matroids19h◆
News/Intelligent Road Condition Monitoring using 3D In-Air SONAR Sensing
arxiv
PublishedMarch 31, 2026 at 4:00 AM

Intelligent Road Condition Monitoring using 3D In-Air SONAR Sensing

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2603.28141v1 Announce Type: cross Abstract: In this paper, we investigate the capabilities of in-air 3D SONAR sensors for the monitoring of road surface conditions. Concretely, we consider two applications: Road material classification and Road damage detection and classification. While such t

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivOptimal Hydra: Model Heterogeneous Federated Learning for LLMs using Data-Informed Hydra-Nets19harxivJudging the Judges: Confidence and Disagreement in Rubrics as Rewards19harxivContent associations with answer selection and engagement in supply chain community question answering19harxivORACLE-SWE: Quantifying the Contribution of Critical Information Signals on SWE Agents19h
The Bubble Brief
MON · WED · FRI

Read AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews