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- Lee, Kyuho Jason
- Intelligent Systems Lab.
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A 502GOPS and 0.984mW dual-mode ADAS SoC with RNN-FIS engine for intention prediction in automotive black-box system
- Author(s)
- Lee, Kyuho Jason, Bong, Kyeongryeol, Kim, Changhyeon, Jang, Jaeeun, Kim, Hyunki, Lee, Jihee, Lee, Kyoung-Rog, Kim, Gyeonghoon, Yoo Hoi-Jun
- Issued Date
- 2016-01-31
- Citation
- IEEE International Solid-State Circuits Conference, pp.256 - 257
- 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.
- Publisher
- 63rd IEEE International Solid-State Circuits Conference, ISSCC 2016
- ISSN
- 0193-6530
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