File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher


Lee, Kyuho Jason
Intelligent Systems Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.conferencePlace US -
dc.citation.conferencePlace San Francisco -
dc.citation.endPage 257 -
dc.citation.startPage 256 -
dc.citation.title IEEE International Solid-State Circuits Conference - Lee, Kyuho Jason - Bong, Kyeongryeol - Kim, Changhyeon - Jang, Jaeeun - Kim, Hyunki - Lee, Jihee - Lee, Kyoung-Rog - Kim, Gyeonghoon - Yoo Hoi-Jun - 2023-12-19T21:09:24Z - 2023-12-19T21:09:24Z - 2018-08-07 - 2016-01-31 -
dc.description.abstract Advanced driver-assistance systems (ADAS) are being adopted in automobiles for forward-collision warning, advanced emergency braking, adaptive cruise control, and lane-keeping assistance. Recently, automotive black boxes are installed in cars for tracking accidents or theft. In this paper, a dual-mode ADAS SoC is proposed to support both high-performance ADAS functionality in driving-mode (d-mode) and an ultra-low-power black box in parking-mode (p-mode). By operating in p-mode, surveillance recording can be triggered intelligently with the help of our intention-prediction engine (IPE), instead of always-on recording to extend battery life and prevent discharge. -
dc.identifier.bibliographicCitation IEEE International Solid-State Circuits Conference, pp.256 - 257 -
dc.identifier.doi 10.1109/ISSCC.2016.7418004 -
dc.identifier.issn 0193-6530 -
dc.identifier.scopusid 2-s2.0-84962816286 -
dc.identifier.uri -
dc.identifier.url -
dc.language 영어 -
dc.publisher 63rd IEEE International Solid-State Circuits Conference, ISSCC 2016 -
dc.title A 502GOPS and 0.984mW dual-mode ADAS SoC with RNN-FIS engine for intention prediction in automotive black-box system -
dc.type Conference Paper - 2016-01-31 -


Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.