Intelligent Vehicles

Intelligent Vehicles Group
Research in Intelligent Vehicles
Contact: Björn Åstrand, Sławomir Nowaczyk, Stefan Byttner

Our research focuses on situation- as well as self- awareness. Situation awareness is relevant for things like autonomous driving, active safety systems, and intelligent material handling. Self-awareness is essential for making operations more efficient, for example regarding fuel consumption, on-board diagnostics, or predictive maintenance.


  ContactInformation ShortDescription
EVE Slawomir Nowaczyk Extending life of Vehicles within Electromobility era
PRIME Pablo del Moral PRedictive Intelligent Maintenance Enabler


Funding and Partners

Funding Agencies Academic & Research Institutions Industrial Partners
European Commission (CORDIS - Seventh Framework Programme) Örebro University Autoliv
KK-stiftelsen University of Skövde Volvo Group Trucks Technology
Vinnova SP Technical Research Institute of Sweden Toyota Material Handling Europe AB
Chalmers University of Technology Optronic Partner dp AB
VTI (the Swedish National Road and Transport Research Institute) Kollmorgen Särö AB
TNO Volvo Car Corporation
Institut de Robòtica i Informàtica Industrial

AIMS (Automatic Inventory and Mapping of Stock)


An intelligent warehouse environment that autonomously builds a map of articles in a warehouse and relates article identity from the warehouse database with the article’s position (metric) and visual appearance in the warehouse.

  • Intelligent warehouse: identity, location, and appearance of articles
    • recognition and clustering
    • 3D perception
    • localization, mapping and map maintenance

Cargo ANTs

"Cargo ANTs"
  • automated cargo handling ITS
  • AGVs at trucks in ports and terminals
  • multi-vehicle path planning and adaptation

fuelFEET (Fuel FOT Energy Efficient Transport)


Explore factors affecting fuel consumption.

  • Fuel FOT Energy Efficient Transport
  • which fuel consumption factors can be influenced by the driver or fleet owner?


  • transfer to and from emerging markets
  • uptime & safety
  • diagnostics, maintenance, monitoring

FFI NG-TEST (Next Generation Test)

"NG Test"

Next Generation Test Methods for Active Safety Functions. "NG TEST" aims to move parts of the verification and validation of active safety functions from the proving ground to a complete or partly virtual environment. validated virtual testing of next-generation ADAS:

  • CPS modeling, executable math for requirement specification.
  • real-time positioning, rapid accurate positioning on test tracks.

VICTIg (Vehicle ICT Innovation Methodology)

  • Software intense ICT functions testing
  • Test software function of vehicle cooperative, automated and assisted vehicle driving.
  • Develop different level of driving simulation



Algorithms for self-monitoring vehicles, capable of discovering and describing their own operation, as well as detecting deviations from the norm. Data mining across many data streams available on-board a modern truck or bus. Comparing discovered relations across the whole fleet. Faults and component wear can be discovered early and continuously monitored.

  • Remote Diagnostic Tools and Services
  • self-monitor operation and deviations
  • data mining: on-board, maintenance logs, driver comments, engineering expertise



Autonomous navigation in parking structures using consumer car sensor. Halmstad University is involved in V-Charge indirectly by supervising PhD student. External link to V-Charge webpage.


  • Vehicle diagnostics and predictive maintenance
  • on-board data stream mining
  • Data analysis with special focus on developing Component Degradation Models.


Interactive and Dynamic Mapping of work-yards. We aim to develop tools in order to construct and maintain a semantic map of a dynamic work environment like a harbor to facilitate automation tasks with interaction from users on-site.