Jekyll2025-09-06T14:49:23+00:00http://no-ai.se/feed.xmlNoAINo AI About Us Without Us ️InfraHelper - Enhancing Digital Twins and Universal Design with Multimodal Data2025-06-01T00:00:00+00:002025-06-01T00:00:00+00:00http://no-ai.se/2025/06/01/infrahelper-projectWe are excited to announce our collaboration with the City of Gothenburg on the InfraHelper project - a pilot study focusing on human-centered road analysis for digital twin modeling and universal design using multimodal data!

Project Overview

Running from July 1 to December 31, 2025, this project has two main objectives:

  • To enrich digital twin models of Gothenburg’s city infrastructure with multimodal data.
  • To support universal design principles that ensure accessibility and inclusivity for all road users.

Impact

The InfraHelper project will contribute to:

  • Enhanced digital twin models through multimodal data collection.
  • Safer roads supported by monitoring and predictive analysis.
  • More inclusive urban planning that considers the needs of all citizens.
  • Better decision-making tools for city planners and traffic managers.

Stay tuned for updates as we progress through this exciting initiative to make Gothenburg’s streets safer and more accessible for everyone!

]]>Featured on Vetenskapsradion Sveriges Radio P1 - Improving Traffic Safety for People with Disabilities2024-09-19T00:00:00+00:002024-09-19T00:00:00+00:00http://no-ai.se/2024/09/19/sverigeradiop1Our research was recently featured on Vetenskapsradion Sveriges Radio P1. During the interview, we discussed our mission to create safer and more inclusive traffic environments for individuals with disabilities.

By collecting advanced sensor data from diverse populations, our work focuses on understanding the unique challenges faced by road users with reduced mobility. This involves collecting and analyzing motion patterns, identifying obstacles, and examining environmental factors through interviews, video analysis, and multi-sensor data.

The insights from this research will drive the development of AI-powered systems to enhance traffic monitoring and foster safer conditions for everyone.

Read more about it here.

]]>Featured on Sveriges Radio P4 Göteborg2024-09-16T00:00:00+00:002024-09-16T00:00:00+00:00http://no-ai.se/2024/09/16/sverigesradiop4We are delighted to have been featured on Sveriges Radio P4 Göteborg, where our innovative project aimed at enhancing traffic safety for individuals with disabilities was highlighted. Our initiative involves an AI-equipped vehicle that films and analyzes the movement patterns of pedestrians, with a particular focus on participents with mobility challenges. By collaborating closely with these individuals, we aim to develop a system that not only improves their safety but also contributes to a more inclusive traffic environment.

The research vehicle, Snowfox (a Volvo XC90), is equipped with state-of-the-art automotive sensors. It is provided by the REVERE lab at Chalmers and supported by sponsorship from Volvo Cars.

Read more about it here.

]]>Join SAFER’s portfolio2024-06-24T00:00:00+00:002024-06-24T00:00:00+00:00http://no-ai.se/2024/06/24/join-saferWe are now part of SAFER’s project portfolio! ✨

SAFER Vehicle and Traffic Safety Centre at Chalmers is a collaborative platform for research and knowledge exchange where partners from society, academia and industry acquire and share knowledge to make a significant contribution to a safer road transport environment for all.

Read more about it here.

]]>Data collection started today2024-06-14T00:00:00+00:002024-06-14T00:00:00+00:00http://no-ai.se/2024/06/14/interview-started-todayIntervjuarbetet påbörjat idag 14/6

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