COPPLAR CampusShuttle cooperativ perception & planneringsplatform
| Reference number | |
| Coordinator | CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG - Institutionen för signaler och system |
| Funding from Vinnova | SEK 19 535 355 |
| Project duration | January 2016 - June 2019 |
| Status | Completed |
| Venture | Traffic safety and automated vehicles -FFI |
| Call | 2015-00038-en |
| End-of-project report | 2015-04849.pdf (pdf, 7535 kB) |
Important results from the project
We have a vision of developing a cooperative self-driving vehicle that can travel between Chalmers´s two campuses, Johanneberg and Lindholmen, in Gothenburg. To solve this, we need to be able to navigate automatically in several complex traffic situations, ranging from multi-lane roads to complex and crowded city traffic. In this project, we have jointly taken the first steps to achieving this by studying and solving priority subproblems under systematic and controlled conditions.
Expected long term effects
In particular, we have developed new methods that address challenges in the important sub-areas of situational understanding, location and mapping, path prediction and decision-making, V2X and systematic software development. The result of this has been, among other things, 69 scientific articles and a developed research platform (Volvo XC90) equipped with sensors, control software, computers and a software system that allows us to collect relevant research data and easily demonstrate partial results in real environments.
Approach and implementation
The most prioritized scenarios/problems have been systematically studied through, through data collection, analysis, development of new methods and tools and demonstration in vehicles on AstaZero´s test track. We have jointly developed our research platform, a cooperative and self-driving Volvo XC90, together with new methods to address important sub-problems in order to cope with automated driving in complicated city traffic. The results have been verified both through practical tests and via theoretical evaluations in controlled environments.