TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
A Deep Learning Part-diagnosis Platform(DLPP) based on an In-vehicle On-board gateway for an Autonomous Vehicle |
| 영문제목(English Title) |
A Deep Learning Part-diagnosis Platform(DLPP) based on an In-vehicle On-board gateway for an Autonomous Vehicle |
| 저자(Author) |
KyungDeuk Kim
SuRak Son
YiNa Jeong
ByungKwan Lee
|
| 원문수록처(Citation) |
VOL 13 NO. 08 PP. 4123 ~ 4141 (2019. 08) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Autonomous driving technology is divided into 0~5 levels. Of these, Level 5 is a fully autonomous vehicle that does not require a person to drive at all. The automobile industry has been trying to develop Level 5 to satisfy safety, but commercialization has not yet been achieved. In order to commercialize autonomous unmanned vehicles, there are several problems to be solved for driving safety. To solve one of these, this paper proposes ‘A Deep Learning Part-diagnosis Platform(DLPP) based on an In-vehicle On-board gateway for an Autonomous Vehicle` that diagnoses not only the parts of a vehicle and the sensors belonging to the parts, but also the influence upon other parts when a certain fault happens. The DLPP consists of an In-vehicle On-board gateway(IOG) and a Part Self-diagnosis Module(PSM). Though an existing vehicle gateway was used for the translation of messages happening in a vehicle, the IOG not only has the translation function of an existing gateway but also judges whether a fault happened in a sensor or parts by using a Loopback. The payloads which are used to judge a sensor as normal in the IOG is transferred to the PSM for self-diagnosis. The Part Self-diagnosis Module(PSM) diagnoses parts itself by using the payloads transferred from the IOG. Because the PSM is designed based on an LSTM algorithm, it diagnoses a vehicle's fault by considering the correlation between previous diagnosis result and current measured parts data. |
| 키워드(Keyword) |
OBD-Ⅱ
Sensor Fault Decision
Self-diagnosis
Loopback
On-board gateway
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| 파일첨부 |
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