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An energy-efficient parallel multi-core ADAS processor with robust visual attention and workload-prediction DVFS for real-time HD stereo stream.

, , , , and . COOL Chips, page 1-3. IEEE Computer Society, (2016)

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14.2 A 502GOPS and 0.984mW dual-mode ADAS SoC with RNN-FIS engine for intention prediction in automotive black-box system., , , , , , , , and . ISSCC, page 256-257. IEEE, (2016)Time-efficient dense visual 12-DoF state estimator using RGB-D camera., , , and . URAI, page 130-135. IEEE, (2017)An energy-efficient parallel multi-core ADAS processor with robust visual attention and workload-prediction DVFS for real-time HD stereo stream., , , , and . COOL Chips, page 1-3. IEEE Computer Society, (2016)Development of an Automated Low-Cost Multispectral Imaging System to Quantify Canopy Size and Pigmentation., , , , , , , and . Sensors, 24 (17): 5515 (September 2024)A Codebook with Adjustable Angular Coverage for MIMO Spatial Channel Distributions., , , and . VTC Fall, page 1-5. IEEE, (2018)A 46.1 fps Global Matching Optical Flow Estimation Processor for Action Recognition in Mobile Devices., , , , , and . ISCAS, page 1-5. IEEE, (2018)A 2.1TFLOPS/W Mobile Deep RL Accelerator with Transposable PE Array and Experience Compression., , , , , and . ISSCC, page 136-138. IEEE, (2019)A Real-Time and Energy-Efficient Embedded System for Intelligent ADAS with RNN-Based Deep Risk Prediction using Stereo Camera., , , , , and . ICVS, volume 10528 of Lecture Notes in Computer Science, page 346-356. Springer, (2017)A 0.53mW ultra-low-power 3D face frontalization processor for face recognition with human-level accuracy in wearable devices., , , , and . ISCAS, page 1-4. IEEE, (2017)An intelligent ADAS processor with real-time semi-global matching and intention prediction for 720p stereo vision., , , and . Hot Chips Symposium, page 1. IEEE, (2016)