| 陳永耀 Yung-Yao Chen |
|
|---|---|
| Position | |
| Associate Professor | |
| Education | |
| Ph.D. Electrical and Computer Engineering, Purdue University - West Lafayette, IN, USA | |
| yungyaochen@mail.ntust.edu.tw | |
| Room | |
| EE 601-8 |
| Office Hours | Recruiting prospective international students. Email me. 找我前請先瀏覽我個人/實驗室網頁資訊再寄Email |
|---|---|
| Telephone | (02) 2737-6378 |
| Homepage | https://sites.google.com/view/ntust-his-lab/ |
| Laboratory | 人機互動暨影像系統實驗室 (Bio in English Version) |
| Major Field | Computer vision, deep learning, vision-based automation, embedded AI applications, pattern recognition, color image processing, imaging systems, human-computer interaction, and smart sensors of self-driving cars. |
| Course | Introduction to AI, Principles and Practice of Pattern Recognition, Embedded System Programming, Computer Programming and Applications, Capstone Topic: Intelligent Self-Driving |
| 2022.04 ~ 迄今(present) | President, Taiwan Tech Faculty and Staff Basketball Club |
| 2021.08 ~ 迄今(present) | Co-Director, Taiwan Tech Smart Electric Vehicle Research Center (https://reurl.cc/n5MGED) |
| 2021.03 ~ 迄今(present) | Co-PI (Principal Investigator), Industry-Academia Alliance of Artificial Intelligence and Data Science, NTUST |
| 2020.09 ~ 迄今(present) | Academic Expert, Intellectual Property Office (Ministry of Economic Affairs) IPKM |
| 2020.02 ~ 迄今(present) | Associate Professor, Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology (NTUST)) |
| 2020.02 ~ 迄今(present) | Member, AI Research Center, National Taiwan University of Science and Technology (NTUST) |
| 2019.01 ~ 迄今(present) | Project Review Committee, Taiwan Ministry of Science and Technology |
| 2018.08 ~ 2020.01 | Associate Professor, Graduate Institute of Automation Technology (GIAT), National Taipei University of Technology |
| 2018.02 ~ 2020.01 | Chief, Chinese Language Training Center (CLTC), National Taipei University of Technology |
| 2013.08 ~ 2018.07 | Assistant Professor, Graduate Institute of Automation Technology, National Taipei University of Technology |
| 2012.05 ~ 2013.04 | Full-Time Research Intern, HP Labs USA |
| 2022 | Outstanding Young Scholar Research Award, National Taiwan University of Science and Technology |
| 2022 | Outstanding Young Professional Award, Taiwan Association of Systems Science and Engineering |
| 2022 | Outstanding Young Professional Award, Chinese Automatic Control Society(CACS) |
| 2022 | 第17屆教育部技專院校DSP設計競賽 佳作 |
| 2022 | 第十八屆全國電子設計創意競賽 亞軍 |
| 2022 | 2022 IEEE International Conference on Consumer Electronics - Taiwan Service Award |
| 2022 | 車用電子創新發明競賽 系統整合組第一名 |
| 2021 | Excellent Research Award, National Taiwan University of Science and Technology |
| 2021 | Champion, 2nd Autonomous Cars (Duckiebot) Thematic Contest |
| 2021 | Taiwan Electronics Design Contest, Second Prize Award |
| 2021 | Outstanding Young Scholar Award, Taiwan Consumer electronics Society |
| 2021 | Excellent Award, 2021 AIGO Competition (AI Project-Talent Problem Solving Competition) (https://aigo.org.tw/zh-tw) |
| 2021 | 教育部全國大專校院人工智慧競賽(AI CUP) 佳作 |
| 2020 | 2020 Taiwan Electronics Design Contest, Special Award |
| 2020 | 2020 Outstanding Young Scholar Project (Ministry of Science and Technology, Taiwan) |
| 2020 | Ta-You Wu Memorial Award, Ministry of Science and Technology, Taiwan (https://reurl.cc/O1xKbr) |
| 2020 | Outstanding Robotics Young Scholar Award, Robotics Society of Taiwan |
| 2020 | CIEE Outstanding Young Electrical Engineer Award, The Chinese Institute of Electrical Engineering (http://www.ciee.org.tw/) |
| 2020 | Silver Medal, National College Faculty/Staff Basketball Competition |
| 2020 | AI competition of Industrial Development Bureau, AI + AR Highest Achievement Award |
| 2019 | 2019 Outstanding Young Scholar Award, NTUT |
| 2019 | 2019 Research Award, NTUT |
| 2019 | 2019 Innovation and Entrepreneurship contest, Silver Award |
| 2019 | 2019 Innovation and Entrepreneurship contest, Rising Star Award |
| 2019 | 2019 Taiwan Electronics Design Contest, First Prize Award |
| 2019 | 2019 Fintechers and Innovation Contest, Silver Medal |
| 2019 | First Prize Award, Industry-academy innovation competition |
| 2013 | Member, Golden Key International Honour Society (recommended by Purdue University) |
| 2008 | Full TA scholarship, Purdue University |
| 2006 | Member, Phi Tau Phi Scholastic Honor Society (recommended by National Chiao Tung University) |
Research Achievement
| [1] | Yung-Yao Chen, Yu-Hsiu Lin, Yu-Chen Hu, Chih-Hsien Hsia, Yi-An Lian, and Sin-Ye Jhong, “Distributed Real-Time Object Detection Based on Edge-Cloud Collaboration for Smart Video Surveillance Application”, IEEE Access, vol. 10, pp. 93745 - 93759, Aug. 2022. (SCI, Scopus CiteScore Ranking: General Engineering 39/297, Q1) (https://doi.org/10.1109/ACCESS.2022.3203053) |
| [2] | Chao-Lung Yang, Yulius Harjoseputro, Yu-Chen Hu, and Yung-Yao Chen*, “An Improved Transfer-Learning for Image-Based Species Classification of Protected Indonesians Birds”, Computers, Materials & Continua, vol. 73, pp. 4577-4593, July 2022. (SCI, Scopus CiteScore Ranking: Modeling and Simulation 56/290, Q1) (https://doi.org/10.32604/cmc.2022.031305) |
| [3] | Yin-Chen Yeh, Jilyan Dy, Tai-Ming Huang, Yung-Yao Chen, and Kai-Lung Hua, “VDNet: video deinterlacing network based on coarse adaptive module and deformable recurrent residual network”, Neural Computing and Applications, vol. 34, pp. 12861-12874, May 2022. (SCI, Scopus CiteScore Ranking: Software 58/398, Q1) (https://doi.org/10.1007/s00521-022-07116-5) |
| [4] | Jose Jaena Mari Ople, Shang-Fu Chen, Yung-Yao Chen, Kai-Lung Hua, Mohammad Hijji, and Khan Muhammad, “Controllable Model Compression for Roadside Camera Depth Estimation”, IEEE Trans. Intelligent Transportation Systems, early access, May 2022. (SCI, Scopus CiteScore Ranking: Mechanical Engineering 17/601, Q1) (https://doi.org/10.1109/TITS.2022.3166873) |
| [5] | Shan-Bin Chan, Yuan-Chun Lai, Wei-Ting Chang, Kuo-Ting Tang, Ming-Shih Huang, Zhih-Cheng Chen, and Yung-Yao Chen*, “Ejection Fraction Measurement and Regional Wall Motion Abnormality Assessment Using Deep-learning Neural Networks in Left Ventriculography”, Sensors and Materials, pp. 1287-1296, vol. 34, April 2022 (SCI, Scopus CiteScore Ranking: General Materials Science 345/460, Q3) (https:// doi.org/10.18494/SAM3503) |
| [6] | Hsiang-Ying Wang, Hsin-Chun Lin, Chih-Hsien Hsia, Natnuntnita Siriphockpirom, Hsien-I Lin, and Yung-Yao Chen*, “Image-to-image Translation via Contour-consistency Networks”, Sensors and Materials, pp. 515-522, vol. 34, Feb. 2022 (SCI, Scopus CiteScore Ranking: General Materials Science 345/460, Q3) (https:// doi.org/10.18494/SAM3493) |
| [7] | Yung-Yao Chen*, Yu-Chen Hu, Ting-Kai Yang, and You-An Wang, “Data Hiding in AMBTC Images Using Selective XOR Hiding Scheme”, Computers, Materials & Continua, vol. 71, pp. 5167-5182, Jan. 2022. (SCI, Scopus CiteScore Ranking: Modeling and Simulation 56/290, Q1) (https://doi.org/10.32604/cmc.2022.023993) |
| [8] | Mohammad Shahid, John Jethro Virtusio, Yu-Hsien Wu, Yung-Yao Chen, M. Tanveer, Khan Muhammad, and Kai-Lung Hua, “Spatio-Temporal Self-Attention Network for Fire Detection and Segmentation in Video Surveillance”, IEEE Access, vol. 10, pp. 1259-1275, Dec. 2021. (SCI, Scopus CiteScore Ranking: General Engineering 39/297, Q1) (https://doi.org/10.1109/ACCESS.2021.3132787) |
| [9] | Yung-Yao Chen, Chih-Hsien Hsia*, and Ping-Han Chen, “Contactless multispectral palm-vein recognition with lightweight convolutional neural network”, IEEE Access, vol. 9, pp. 149796-149806, Nov. 2021. (SCI, Scopus CiteScore Ranking: General Engineering 39/297, Q1) (https://doi.org/10.1109/ ACCESS.2021.3124631) |
| [10] | Yung-Yao Chen, Yu-Chen Hu, Hsiang-Yun Kao, and Yu-Hsiu Lin*, “Security for eHealth system: data hiding in AMBTC compressed images via gradient-based coding”, Complex & Intelligent Systems, pp. 1-13, May 2021 (SCI, JCR Impact Factor Ranking: Computer Science, Artificial Intelligence 38/137, Q2) (https://doi.org/10.1007/s40747-021-00391-0) |
| [11] | Yung-Yao Chen, Sin-Ye Jhong, Chih-Hsien Hsia, and Kai-Lung Hua, “Explainable AI: A Multispectral Palm Vein Identification System with New Augmentation Features”, ACM Trans. Multimedia Computing Communications and Applications, accepted, May 2021 (SCI, Scopus CiteScore Ranking: Computer Science – Hardware and Architecture 23/150, Q1) (https://doi.org/10.1145/3468873) |
| [12] | Sin-Ye Jhong, Yung-Yao Chen, Chih-Hsien Hsia, Shih-Chang Lin, Kuo-Hua Hsu, and Chin-Feng Lai*, “Nighttime object detection system with lightweight deep network for Internet of vehicles”, Journal of Real-Time Image Processing, accepted, April 2021 (SCI, Scopus CiteScore Ranking: Information Systems 86/300, Q2) (https://doi.org/10.1007/s11554-021-01110-1) |
| [13] | Wen-Yin Chen, Pavol Podstreleny, Wen-Huang Cheng, Yung-Yao Chen, and Kai-Lung Hua*, “Code generation from a graphical user interface via attention-based encoder–decoder model”, Multimedia Systems, April 2021 (SCI, Scopus CiteScore Ranking: Media Technology 9/65, Q1) (https://doi.org/10.1007/s00530-021-00804-7) |
| [14] | Yung-Yao Chen, Ming-Hung Chen, Che-Ming Chang, Fu-Sheng Chang, and Yu-Hsiu Lin*, “A smart home energy management system using two-stage non-intrusive appliance load monitoring over fog-cloud analytics based on Tridium’s Niagara framework for residential demand-side management”, Sensors, vol. 21, pp. 2883, April 2021 (SCI, Scopus CiteScore Ranking: Physics and Astronomy – Instrumentation 9/116, Q1) (https://doi.org/10.3390/s21082883) |
| [15] | Ning Shan, Daniel Stanley Tan, Melkamu Sewuyie, Yung-Yao Chen, Wen-Huang Cheng, and Kai-Lung Hua, “Photobomb defusal expert: automatically remove distracting people from photos”, IEEE Trans. Emerging Topics in Computational Intelligence, vol. 4, pp. 717-727, Oct. 2020 (SCI) (https://doi.org/10.1109/TETCI.2018.2865215) |
| [16] | Yung-Yao Chen*, Guan-Yi Li, Sin-Ye Jhong, Ping-Han Chen, Chiung-Cheng Tsai, and Po-Han Chen, “Nighttime pedestrian detection based on thermal imaging and convolutional neural networks”, Sensors and Materials, pp. 3157-3167, vol. 32, Oct. 2020 (SCI) (https://doi.org/10.18494/SAM.2020.2838) |
| [17] | Yung-Yao Chen, Chih-Hsien Hsia, Hsiang-Yun Kao, You-An Wang, and Yu-Chen Hu *, “An image authentication method for secure Internet-based communication in human-centric computing”, Journal of Internet Technology, accepted, July 2020 (SCI) |
| [18] | Yong-Xiang Lin, Daniel Tan, Yung-Yao Chen, Ching-Chun Huang, and Kai-Lung Hua*, “Domain adaptation with foreground/background cues and gated discriminators”, IEEE MultiMedia, vol. 3, pp. 44-53, July 2020 (SCI) (https://doi.org/10.1109/MMUL.2020.3008529) |
| [19] | Trang-Thi Ho, John Virtusio, Yung-Yao Chen, Chih-Ming Hsu, and Kai-Lung Hua*, “Sketch-guided deep portrait generation”, ACM Trans. Multimedia Computing Communications and Applications, article No. 88, July 2020 (SCI) (https://doi.org/10.1145/3396237) |
| [20] | Yu-Hsiu Lin, Kai-Lung Hua, Hsin-Han Lu, Wei-Lun Sun, and Yung-Yao Chen*, “An adaptive exposure fusion method using fuzzy logic and multivariate normal conditional random fields”, MDPI Sensors, vol. 19, pp. 4743, Oct. 2019. (SCI) (https://doi.org/10.3390/s19214743) |
| [21] | Yung-Yao Chen and Yu-Hsiu Lin*, “A smart autonomous time- and frequency-domain analysis current sensor-based power meters prototype developed over fog-cloud analytics for demand-side management”, MDPI Sensors, vol. 19, pp. 4443, Oct. 2019 (SCI) (https://doi.org/10.3390/s19204443) |
| [22] | Yung-Yao Chen, Yu-Hsiu Lin*, Chia-Ching Kung,Ming-Han Chung, and I-Hsuan Yen, “Design and implementation of cloud analytics-assisted smart power meters considering advanced artificial intelligence as edge analytics in demand-side management for smart homes”, MDPI Sensors, vol. 19, pp. 2047, May 2019 (SCI) (https://doi.org/10.3390/s19092047) |
| [23] | Yu-Hsiu Lin, Chih-Hsien Hsia, Bo-Yan Chen, and Yung-Yao Chen*, “Visual IoT security: data hiding in AMBTC images using block-wise embedding strategy”, MDPI Sensors, vol. 19, pp. 1974, April 2019 (SCI) (https://doi.org/10.3390/s19091974) |
| [24] | Chih-Hsien Hsia, Sin-Hong Lin, and Yung-Yao Chen*, “Adaptive wavelet shrinkage based on intelligent FIS learned thresholding”, J. Imaging Science and Technology (JIST), pp. 030407, March 2019 (SCI) (https://doi.org/10.2352/J.ImagingSci.Technol.2019.63.3.030407) |
| [25] | Kai-Lung Hua, Ho Thi Trang, Kathiravan Srinivasan*, Yung-Yao Chen, Chun-Hao Chen, Vishal Sharma, and Albert Y. Zomaya, “Reduction of Artefacts in JPEG-XR Compressed Images”, MDPI Sensors, vol. 19, pp. 1214, March 2019 (SCI) (https://doi.org/10.3390/s19051214) |
| [26] | Hsiang-Ying Wang, Hsin-Ju Lin, Xiang-Yun Gao, Wen-Huang Cheng, and Yung-Yao Chen*, “Reversible AMBTC-based data hiding with security improvement by chaotic encryption”, IEEE Access, vol. 7, pp. 38337-38347, March 2019 (SCI) (https://doi.org/10.1109/ACCESS.2019.2906500) |
| [27] | Yung-Yao Chen*, Chih-Hsien Hsia, Kuan-Yu Chi, and Bo-Yan Chen, “High-quality and high-capacity data hiding based on absolute moment block truncation coding”, J. Internet Technology, pp. 1-10, March 2019 (SCI) (https://doi.org/10.3966/160792642019032002007) |
| [28] | Yung-Yao Chen*, Chih-Hsien Hsia, and Chiao-Wen Lu, “Multiple exposure fusion based on sharpness-controllable fuzzy feedback”, J. Intelligent and Fuzzy Systems, vol. 36, pp. 1121-1132, March 2019 (SCI) (https://doi.org/10.3233/JIFS-169886) |
| [29] | Yung-Yao Chen*, Chih-Hsien Hsia, Sin-Ye Jhong, and Hsin-Ju Lin, “Data hiding method for AMBTC compressed images”, J. Ambient Intelligence and Humanized Computing, pp. 1-9, Nov. 2018 (SCI) (https://doi.org/10.1007/s12652-018-1048-0) |
| [30] | Yung-Yao Chen*, Wei-Sheng Chen, “High-quality blind watermarking in halftones using random toggle approach”, Multimedia Tools and Applications, vol. 77, pp. 8019-8041, April 2018. (SCI) (https://doi.org/10.1007/s11042-017-4697-7) |
| [31] | Yung-Yao Chen*, Yi-Cheng Zhang, “Drift-free tracking surveillance based on online latent structured SVM and kalman filter modules”, IEICE Trans. Information and Systems, vol. E101D, pp. 491-503, Feb. 2018. (SCI) (https://doi.org/10.1587/transinf.2017EDP7190) |
| [32] | Yung-Yao Chen*, Kuan-Yu Chi, Kai-Lung Hua, “Design of image barcodes for future mobile advertising”, EURASIP J. Image and Video Processing, Vol. 2017, pp. 1-12, Dec. 2017. (SCI) (https://doi.org/10.1186/s13640-016-0158-x) |
| [33] | Yung-Yao Chen*, Kuan-Yu Chi, “Cloud image watermarking: high quality data hiding and blind decoding scheme based on block truncation coding”, Multimedia Systems, pp. 1-13, July 2017 (SCI) (https://doi.org/10.1007/s00530-017-0560-y) |
| [34] | Wen-Hsiung Huang, Yung-Yao Chen, Pei-Yu Lin, Che-Hao Hsu, Kai-Lung Hua*, “Efficient and accurate document image classification algorithms for low-end copy pipelines”, EURASIP J. Image and Video Processing, Vol. 2016, pp. 1-11, Dec. 2016. (SCI) (https://doi.org/10.1186/s13640-016-0135-4) |
| [35] | Yung-Yao Chen*, Tamar Kashti, Mani Fischer, Doron Shaked, Robert Ulichney, and J. P. Allebach, “The lattice-based screen set: a square N-color all-orders moir?-free screen set”, IEEE Trans. Image Processing, Vol. 25, pp. 1873-1886, April 2016. (SCI) (https://doi.org/10.1109/TIP.2016.2523428) |
| [1] | Hao-Wei Hwang, Sin-Ye Jhong, Yu-Quan Wang, Yi-Ting Chen, John Jethro Corpuz Virtusio, and Yung-Yao Chen*, “Enhancing Local Structure with Semantic Split Feature Transform for Voxel-Based 3D Detectors”, Proc. The 19th International Conference on Automation Technology (Automation 2022), Nov. 2022. |
| [2] | Si-Yu Lu, Sin-Ye Jhong, Wei-Jia Cheng, and Yung-Yao Chen*, “Fast Learning-Based 3-D Lidar Localization with Multiscale Feature Recursive Matching for Autonomous Driving”, Proc. The 2022 International Automatic Control Conference (CACS 2022), Nov. 2022. (通訊作者)(研討會最佳論文獎,佳作) |
| [3] | Yao-Ming Zhang, San-Wen Lin, Tzu-Hsiang Chou, Sin-Ye Jhong, and Yung-Yao Chen*, “Robust Lane Detection via Filter Estimator and Data Augmentation”, Proc. 2022 IEEE International Conference on Consumer Electronics - Taiwan, July 2022. (https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869116) |
| [4] | Sin-Ye Jhong, Yu-Quan Wang, Wei-Jia Cheng, Hao-Wei Hwang, and Yung-Yao Chen*, “LiDAR-Based Pedestrian Detection Using Multiple Features and Dimensionality Reduction Scheme”, Proc. The International Conference on System Science and Engineering 2022 (ICSSE 2022), May 2022. |
| [5] | Sin-Ye Jhong, Po-Yen Tseng, Natnuntnita Siriphockpirom, Chih-Hsien Hsia, Ming-Shih Huang, Kai-Lung Hua , Yung-Yao Chen*, “ An automated biometric identification system using CNN-based palm vein recognition”, Proc. Int. Conf. Advanced Robotics and Intelligent Systems (ARIS), Taipei, taiwan, Aug. 2020. (Conference Best Paper Award) |
| [6] | Yung-Yao Chen*, Sin-Ye Jhong, Guan-Yi Li, and Ping-Han Chen, “Thermal-based pedestrian detection using faster R-CNN and region decomposition branch”, Proc. Int. Symp. Intelligent Signal Processing and Communication Systems (ISPACS 2019), Taipei, Taiwan, Dec. 2019. |
| [7] | Ping-Han Chen, Bo-Chiuan Chen, Chih-Keng Chen, and Yung-Yao Chen*, “Infrared-based nighttime on-road obstacle detection by combining deep-learned and hand-crafted features”, Proc. The 4th SHANGHAI-STUTTGART symposium on Automotive and Powertrain Technology, Shanghai, China, Oct. 2019. |
| [8] | Yong-Xiang Lin, Daniel Tan, Wen-Huang Cheng, Yung-Yao Chen, Kai-Lung Hua*, “ Spatially-aware domain adaptation for semantic segmentation of urban scenes”, Proc. The 26th IEEE International Conf. Image Processing (ICIP), Taipei, taiwan, Sept. 2019. |
| [9] | Kuo-Hua Hsu, Ting-Chi Liu, Kai-Lung Hua, and Yung-Yao Chen*, “ Detail-preserved tone mapping based on joint global and local histogram equalization”, Proc. Second International Cognitive Cities Conference, Kyoto, Japan, Sept. 2019. |
| [10] | Shih-Chang Lin, Kai-Lung Hua, Guan-Yi Li, and Yung-Yao Chen*, “ Part-Based CNN for Infrared Pedestrian Detection”, Proc. Int. Conf. Advanced Robotics and Intelligent Systems (ARIS), Taipei, Taiwan, Aug. 2019. |
| [11] | (Best Paper Award) Yu-Hsiu Lin, Chih-Hsien Hsia, Bo-Yan Chen, and Yung-Yao Chen*, “AMBTC-Based Data Hiding Using Intra- and Inter-Block Embedding Strategy”, Proc. The 7th Int. Conf. Communications, Computation, Networks and Technologies, Nice, France, Oct. 2018. (Conference Best Paper Award) |
| [12] | Tzu-Chieh Lin, Daniel Stanley Tan, Hsueh-Ling Tang, Shih-Che Chien, Feng-Chia Chang, Yung-Yao Chen, Wen-Huang Cheng, and Kai-Lung Hua, “Pedestrian detection from Lidar data via cooperative deep and hand-crafted features”, Proc. IEEE Int. Conf. Image Processing (ICIP), Athens, Greece, Oct. 2018. |
| [13] | Shih-Shinh Huang, Shih-Che Chien, Feng-Chia Chang, Guan-Yi Li, Chiung-Cheng Tsai, and Yung-Yao Chen*, “Infrared-based nighttime vehicle recognition using deep learning”, Proc. Int. Conf. Advanced Robotics and Intelligent Systems (ARIS), Taipei, Taiwan, Sept. 2018. |
| [14] | Yung-Yao Chen*, Chih-Hsien Hsia, Yun-Chen Tsai, and Kuan-Yu Chi, “Halftone-based data hiding method using orientation modulation strategy”, Proc. First International Cognitive Cities Conference, Okinawa, Japan, Aug. 2018. |
| [15] | Yung-Yao Chen*, Chih-Hsien Hsia, and Chiao-Wen Lu, “Multiple Exposure Fusion Based on Sharpness-Controllable Fuzzy Feedback”, Proc. Int. Multi-Conf. Engineering and Technology Innovation (IMETI), Hualien, Taiwan, Oct. 2017. |
| [16] | Shih-Che Chien, Feng-Chia Chang, Chiung-Cheng Tsai, and Yung-Yao Chen*, “Intelligent All-Day Vehicle Detection Based on Decision-Level Fusion Using Color and Thermal Sensors”, Proc. Int. Conf. Advanced Robotics and Intelligent Systems (ARIS), Taipei, Taiwan, Sept. 2017. |
| [17] | Zhao-Ming Liu, Yung-Yao Chen, S. Hidayati, Shih-Che Chien, Feng-Chia Chang, Kai-Lung Hua, “3D model retrieval based on deep Autoencoder neural networks”, Proc. Int. Conf. Signals and Systems (ICSigSys), pp. 290-296, Bali, Indonesia, May 2017. |
| [18] | Yung-Yao Chen*, Po-Han Chen, Shih-Che Chien, “An objective tracking method based on kalman filter”, Proc. Int. Conf. Advanced Robotics and Intelligent Systems (ARIS), Taipei, Taiwan, Aug. 2016. |
| [19] | Shih-Che Chien, Yung-Yao Chen*, Sin-Hong Lin, and Kuan-Yu Chi, “Pedestrian characterization in infrared thermography imaging”, Proc. Int. Conf. Advanced Robotics and Intelligent Systems (ARIS), Taipei, Taiwan, Aug. 2016. |
| [20] | Yung-Yao Chen*, Wei-Sheng Chen, Hui-Sheng Ni, “Image segmentation in thermal images”, Proc. IEEE Int. Conf. Industrial Technology (ICIT), pp. 1507-1512, Taipei, Taiwan, March 2016. |
| [21] | Hsien-I Lin, Yi-Yu Chen, Yung-Yao Chen*, “Robot vision to recognize both object and rotation for robot pick-and-place operation”, Proc. Int. Conf. Advanced Robotics and Intelligent Systems (ARIS), Taipei, Taiwan, May 2015. |
| [22] | (Best Paper Award) Wei-Sheng Chen, Kai-Wen Chen, Hui-Sheng Ni, Yung-Yao Chen*, “A novel barcode system for intelligent automation industry”, Proc. Int. Conf. Advanced Robotics and Intelligent Systems (ARIS), Taipei, Taiwan, May 2015. (Conference Best Paper Award) |
| [1] | Taiwanese Patent I643159 |
| [2] | Taiwanese Patent I643160 |
| [3] | US patent 9990686 B2 |
| [4] | US patent 9544467 B2 |
| [5] | Taiwanese Patent I543588 |
| [6] | Taiwanese Patent I530914 |
| [7] | US patent 9344600 B2 |
| [8] | Taiwanese Patent I507909 |
| [9] | Taiwanese Patent I514840 |
| [10] | US patent 8730547 B2 |
| [1] | 臺科大智慧電動車研究中心: https://www.digitimes.com.tw/iot/article.asp?cat=158&cat1=20&cat2=220&id=620882 |
| [2] | 臺科大電動車隊及ADAS感知 https://www.youtube.com/watch?v=Zw7OkG4KVuY |
| [3] | 智慧電動車未來趨勢介紹 https://www.youtube.com/watch?v=o5I9cV35A4E&feature=emb_title |
| [4] | DeltaMOOCx台達線上磨課師(MOOCs)課程平台數位影像處理 https://www.youtube.com/watch?v=U0VtIp7X9dI&list=PLI6pJZaOCtF3s0_Mcwr2AT75DX3Q_SfDh |
Research Achievement
| Title | Total Amount | Conduct From | Conduct Until | Client |
|---|---|---|---|---|
| Development of AIoT Sensor Fusion Technology in Compliance with Taiwan IoT Cybersecurity Certification | 3,300,000 | 202211 | 202310 | National Science and Technology Council |
| 智慧感知及感知整合於自駕車的理論與應用探索(吳大猷獎研究計畫) | 6,750,000 | 20228 | 20257 | 科技部 |
| Vehicle Detection for Autonomous Car Sensing Based on Heterogeneous (Camera and LiDAR) Deep Learning (Outstanding Young Scholar Project) | 2,106,000 | 20208 | 20227 | Taiwan Ministry of Science and Technology |
| Perception, Decision and Control Subsystems of Autonomous Driving (2/3) | 14,945,000 | 20206 | 20215 | Taiwan Ministry of Science and Technology |
| Lidar-based smart sensing - A pedestrian detection system using LIDAR point cloud data | 1,988, 000 | 20198 | 20217 | Taiwan Ministry of Science and Technology |
| Perception, Decision and Control Subsystems of Autonomous Driving (1/3) | 13,575,000 | 20198 | 20205 | Taiwan Ministry of Science and Technology |
| Perception, Decision and Control Subsystems of Autonomous Driving | 6,076,000 | 201812 | 20197 | Taiwan Ministry of Science and Technology |
| All-Day Visible & FIR Pedestrian Detection System Based on Adaptive Fusion Mechanism | 869,000 | 20188 | 20199 | Taiwan Ministry of Science and Technology |
| Automatic nighttime surveillance system (pedestrian detection and tracking) based on far infrared thermal imaging | 711,000 | 20178 | 20189 | Taiwan Ministry of Science and Technology |
Student
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