|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.
- 1 Projects
- 2 People
- 3 Funding and Partners
|ARISE||Slawomir Nowaczyk||Analytical Root-cause Identification in data Streams for detection of Emerging quality issues|
|HEALTH||Slawomir Nowaczyk||Hazard Estimation and Analysis of Lifelong Truck Histories|
|PRIME||Pablo del Moral||PRedictive Intelligent Maintenance Enabler|
|SeMI||Antanas Verikas||Self-Monitoring for Innovation|
|TIDE||Slawomir Nowaczyk||Toyota Intelligent Data Exploration|
- Björn Åstrand
- Cristofer Englund
- Jennifer David
- Magnus Svensson
- Martin Cooney
- Mohamed-Rafik Bouguelia
- Sepideh Pashami
- Stefan Byttner
- Sławomir Nowaczyk
- Thorsteinn Rögnvaldsson
- Yuantao Fan
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
- 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)
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.