Name
Abstract | ||
|---|---|---|
As autonomous cars are entering mainstream, new research directions are opening involving several domains, from hardware design to control systems, from energy efficiency to computer vision. An exciting direction of research is represented by the coordination of the different vehicles, moving the focus from the single one to a collective system. In this paper we propose some challenging examples thatshow the motivations for a coordination approach in autonomous driving. Moreover, we present some techniques borrowed from distributed artificial intelligence that can be exploited to tackle the previously mentioned challenges. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/WETICE.2017.45 | 2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) |
Keywords | Field | DocType |
adaptation,autonomous driving,socio-technical systems | Computer science,Efficient energy use,Simulation,Human–computer interaction,Sociotechnical system,Control system,Mainstream,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-5386-1760-1 | 0 | 0.34 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marko Bertogna | 1 | 1010 | 56.16 |
| Paolo Burgio | 2 | 82 | 8.77 |
| Giacomo Cabri | 3 | 1018 | 106.91 |
| Nicola Capodieci | 4 | 82 | 16.13 |