Abstract | ||
---|---|---|
Sometimes an autonomous vehicle realizes that unfortunately a crash will come about; however there are several possible crashes and the autonomous vehicle can still make a decision what the least destructive option is. In this paper a technique for a real-time assessment of crash potential damages is presented with the aim of facilitating the vehicle's embedded computer to come to the best decision. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/EIT.2016.7535271 | 2016 IEEE International Conference on Electro Information Technology (EIT) |
Keywords | Field | DocType |
Autonomous Vehicle,Car Accident,Embedded Real-Time System | Crash,Systems engineering,Damages,Computer science,Transport engineering,Computer network,Decision-making | Conference |
ISSN | ISBN | Citations |
2154-0357 | 978-1-4673-9986-9 | 1 |
PageRank | References | Authors |
0.54 | 8 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yair Wiseman | 1 | 158 | 14.60 |
Ilan Grinberg | 2 | 1 | 0.54 |