Vehicle Positioning and Route Prediction
| Reference number | |
| Coordinator | Volvo Personvagnar Aktiebolag - Avd 96410 Active Safety Electronics and Functions |
| Funding from Vinnova | SEK 12 309 631 |
| Project duration | July 2013 - March 2018 |
| Status | Completed |
| Venture | Traffic safety and automated vehicles -FFI |
| Call | 2013-01311-en |
| End-of-project report | 2013-01304sv.pdf(pdf, 668 kB) (In Swedish) |
Important results from the project
The project focused on two out of six program targets Intelligent safety systems: OK Field studies (e.g. real-life safety): OK Examples of contribution: Reducing road transports environmental impact - Through increased knowledge and results on route prediction, a better optimization of car control was enabled, which reduces environmental impact. Reduce number of casualties in traffic - Better control of detailed traffic situations (lane-departures, crossing scenarios) reduces the probability of accidents, since manoeuvres can be better planned and executed.
Expected long term effects
Gain competence and algoritms for positioning and route prediction. Present result in academic publications to eg. describe the mathematical derivations of the developed algorithms. Knowledge about what positioning accuracy using existing sensor technologies. 27 publications and internal reports shows that we have successfully met the goals set up for the project and have gained important knowledge related to vehicle positioning and route prediction. Also, in the academic world, interest in this knowledge grows, as has been demonstrated by the majority of new Courses.
Approach and implementation
Our approach has been to first develop detailed maps using specific mapping vehicles equipped with high accuracy reference sensors, and then in a second step develop algorithms for estimating the vehicle position in this map using affordable automotive grade sensors.