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.
Original language | English |
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Title of host publication | 2016 IEEE International Conference on Electro Information Technology, EIT 2016 |
Publisher | IEEE Computer Society |
Pages | 387-392 |
Number of pages | 6 |
ISBN (Electronic) | 9781467399852 |
DOIs | |
State | Published - 5 Aug 2016 |
Externally published | Yes |
Event | 2016 IEEE International Conference on Electro Information Technology, EIT 2016 - Grand Forks, United States Duration: 19 May 2016 → 21 May 2016 |
Publication series
Name | IEEE International Conference on Electro Information Technology |
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Volume | 2016-August |
ISSN (Print) | 2154-0357 |
ISSN (Electronic) | 2154-0373 |
Conference
Conference | 2016 IEEE International Conference on Electro Information Technology, EIT 2016 |
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Country/Territory | United States |
City | Grand Forks |
Period | 19/05/16 → 21/05/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- Autonomous Vehicle
- Car Accident
- Embedded Real-Time System