InnoBrain joins DREAM to advance safer, human-centered remote operation of automated vehicles
InnoBrain has joined DREAM — Design and Deployment of a Control Center for Remote Automated Vehicles Management — a new Swedish collaboration focused on the future of safe remote operation for connected and automated vehicles. The project description presents DREAM as a 2026–2029 initiative aimed at moving remote operation from experimental validation toward larger-scale real-world deployment.
DREAM brings together industry, research institutes, universities, and public actors to develop a Remote Operation Center concept that can support fleets, multiple vehicle types, and different remote-operation modes. The project addresses key areas such as resilient system architecture, adaptive human-machine interfaces, operator training, monitoring and safety metrics, certification, regulation, and large-scale demonstrations.
Within the project, InnoBrain contributes its Human Cognitive Monitoring technology and foundational neuro-AI models to support safer and more human-centered remote operation. According to the project description, InnoBrain’s role includes cognitive and behavioral state monitoring, operator safety metrics, adaptive workstation interfaces, training support, and deployment of operator monitoring into the demonstrator environment.
By integrating operator-state awareness into next-generation control centers, DREAM aims to strengthen safety, performance, and trust in automated mobility. We are excited to collaborate with the consortium and help shape scalable, certifiable, and human-centered remote vehicle operations.
The DREAM project is built on a strong consortium of partners from industry, research, academia, and the public sector. Together, they bring the expertise needed to develop safe, scalable, and human-centered remote operation systems for automated vehicles.
Partners:
- ALKIT COMMUNICATIONS AB
- AstaZero — no clickable company link was exposed in the public view of the post
- RISE Research Institutes of Sweden
- CDE
- Ericsson
- FleetMQ
- Ictech
- KTH Royal Institute of Technology
- Lund University
- Region Stockholm
- Smart Eye
- Time Critical Networks
- Swedish National Road and Transport Research Institute (VTI)
We look forward to the collaboration and to contributing to the future of safe and scalable remote automated mobility.