Robotics and Intelligent Transportation Systems
The market for remote sensing using small unmanned aerial vehicles and robots are growing exponentially. Important implementations include surveying and mapping, the built environment, precision agriculture and forestry, aquatic monitoring, evaluation of environmental effects, energy economy, applications related to routes and infrastructure, law enforcement, security, science and education.
Our aim is to facilitate the development of innovations in navigation and positioning technology for the good of society. Currently we have two top-level research projects. We are developing techniques related to smart traffic (primarily on the road and at sea as well as pedestrian traffic). Our second aim is to develop various kinds of techniques for collecting spatial data. Big data collected from a large number of users i.e. crowdsourcing makes the creation of new services and business models in the field of navigation and positioning services, for example. Through new positioning technologies, it will be possible to use navigational services in new operational environments, such as indoors. All positioning methods have their weaknesses, which means that in applications where security is critical, such as traffic, navigational services must be fault tolerant.
Central themes of this core competency are, for example:
- Multi-source positioning methods
- New mapping systems
- GNSS technologies
- Operational environment-independent navigation
- Spatial data applications for mobile devices
- Information security of positioning and navigation services
- Cloud computing
- Smart traffic
- Route optimisation and autonomous navigation
- Autonomous systems
- Measuring the conditions of roads
- Power line mapping