Enthusiastic crowd at demonstrations of self-driving cars in Helmond
The Swedish team from Halmstad University won the first prize, followed by the German team KIT AnnieWay and the Swedish KTH truck team. The three winning teams received a NVIDIA Jetson TX1 developer Kit, a development platform for Deep Learning and Artificial Intelligence. The overall winner was rewarded with a month of scientific research support on subjects related to cooperative automated driving, two weeks of research consultancy on subjects related to cooperative automated driving and a masterclass on cooperative automated driving at the winning institute, including technology demonstration on site, by co-organizers TU/e and TNO representing a value of € 25.000.
During the weekend of 28 and 29 May 2016 the city of Helmond was the centre of an international event in the field of cooperative driving: the Grand Cooperative Driving Challenge. The GCDC 2016 was one of the highlights of the i-GAME project, a European research project, supported by the European Commission, in which the next step towards the cooperative automation of vehicles are taken.
Ten student teams from six European countries competed for the most points for best performance in cooperative and autonomous driving. The competition - consisting of three different traffic scenarios - was held on the A270 highway between Helmond and Eindhoven. During the weekend the highway was closed off in order to test three different traffic scenarios. The three trials were all about testing the ability of the self-driving cars such as: merging two rows of vehicles up to one, automated crossing and turn at an intersection and automatically give way to an emergency vehicle.
The GCDC 2016 was also part of the Dutch Technology Week which attracted around 2.000 visitors on Saturday and another 120 mobility experts from all over the world on Sunday.
Road traffic continues to face significant challenges regarding congestion, traffic safety and emissions. The combination of vehicle automation (making it self-driving) and vehicle-to-vehicle and vehicle-to-infrastructure communication may provide a solution to some of these issues. To enable these improvements, vehicle-to-vehicle cooperation is only possible if we can agree on what we want to communicate with each other and when we do it. That is precisely the aim of the i-GAME: to prove a basis for cooperative automated driving in an international context.
In addition i-GAME supports a multi-vendor approach where vehicles from different manufacturers can cooperate based on a minimum set of common rules such as safety regulations and communication protocols.