Born in in Inner Mongolia District of China. Founded AquaAge Inc. during PhD course in Nagoya University of informatics as CEO until now. AquaAge is a data-centric company providing business partners of skin image and data analysis solution, and running the HADABON, which is a Mobile App, providing personalized skincare service for business partners and clients.
AIx顔診断ベンチャーAquaAgeのCEO/データ駆動型制御研究者/天津大学ソフトウェア工学/名古屋大学情報学研究科PhD /スキンケアAIサービスHADABON開発者/ 文科省リーディングプログラムRWDC3期生/中国出身/モンゴル人/日本永住者
Founded AquaAge Inc. during PhD course in Nagoya University of informatics as CEO until now. AquaAge is a data-centric company providing business partners of skin image and data analysis solution, and running the HADABON, which is a Mobile App, providing personalized skincare service for business partners and clients.
Most current research in the field of autonomous vehicle control assumes that all vehicles will follow the same patterns of automated driving behavior, resulting in systems with "conservative" or "average" driving styles. These systems may not be acceptable to drivers who prefer a more aggressive style of driving, however, while extremely cautious drivers may consider the standard outputs to be too aggressive. To address this problem, in my PhD course, I built a data-driven Control framework with an inverse optimal control algorithm that estimates risk-sensitive driving features and incorporates them into a receding-horizon controller. An estimator takes into account individual differences in subjective risk analysis, in terms of driving features and surrounding vehicle locations, by adjusting the cost function and its constraints. I also tested this approach using five lane change scenarios, some safe and some risky, with thirty real drivers in a CARLA simulation environment.
Built simulated Nagoya University buildings, using OpenStreet Map, UnrealEngine, Blender to conduct AT simulation system. Designed and developed scenarios of different driving conditions for testing control algorithms.
Worked in COMMET Inc, and AISIN ComCruise, and Toyota Motor Corporation to develop embedded system as bridge software engineer with offshore team.
Naren Bao, Alexander Carballo, and Kazuya Takeda, “Driving Risk and Intervention: Subjective Risk Lane Change Dataset,” in 33rd 2022 IEEE Intelligent Vehicles Symposium (IV), Aachen, Germany, June, 2022.
Naren Bao, Linda Capito, Dongfang Yang, Alexander Carballo; Chiyomi Miyajima; Kazuya Takeda, “Data-driven Risk-Sensitive Control for Personalized Lane Change Maneuvers,” in IEEE Access, Jan. 2022, doi: 10.1109/ACCESS.2022.3163267.
Naren Bao, Alexander Carballo, and Kazuya Takeda, “Prediction of Personalized Driving Behaviors via Driver-adaptive Deep Generative Models,” in 32nd 2021 IEEE Intelligent Vehicles Symposium (IV), Nagoya, July, 2021.
Naren Bao, Alexander Carballo, Chiyomi Miyajima, Eijiro Takeuchi, and Kazuya Takeda, “Personalized Subjective Driving Risk: Analysis and Prediction,” Journal of Robotics and Mechatronics, Vol.32 No.3, June, 2020.
Naren Bao, Dongfang Yang, Alexander Carballo, Umit Ozguner and Kazuya Takeda, “Personalized Safety-focused Control by Minimizing Subjective Risk,” in 2019 IEEE Intelligent Transportation Systems Conference (ITSC) Auckland, NZ, October 27-30, pp. 3853–3859, Oct. 2019.
Naren Bao, Chiyomi Miyajima, Akira Tamamori, Eijiro Takeuchi, and Kazuya Takeda, ”Estimating Subjective Driving Risk Feeling using Random Forest,” 2018 IEICE General Conferences, Tokyo, Mar. 2018.
Naren Bao, Chiyomi Miyajima, Eijiro Takeuchi, Kazuya Takeda, Shinichiro Honda, Toshiya Yoshitani, and Masayoshi Ito,”Estimating Risk Levels Perceived by Individuals for Lane Change Scenes,”The fourth Internetional Symposium on Future Active Safety Technology Toward zero traffic accidents, Nara, Sept. 2017.
Naren Bao, Chiyomi Miyajima, Eijiro Takeuchi, and Kazuya Takeda, ”Analysis of Individual Risk Perception during Highway Lane-Change Scenes,” The 79th National Convention of IPSJ, Nagoya, Mar. 2017.
Naren Bao, Daiki Hayashi, Chiyomi Miyajima, and Kazuya Takeda, ”Prediction of Individual Driving Behavior on Highway Curves,” The third Workshop on Naturalistic Driving Data Analysitics, IEEE Intelligent Vehicles Symposium (IV), Gothenburg, June 2016.
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