Path generation and tracking based on a Bézier curve for a steering rate controller of autonomous vehicles. - Il Bae; Jaeyoung Moon; Hyunbin Park; Jin Hyo Kim; Shiho Kim (ITSC, 2013)

Digital Neuron: A Hardware Inference Accelerator for Convolutional Deep Neural Networks. - Hyunbin Park; Dohyun Kim 006; Shiho Kim (CoRR, 2018)

Self-Driving like a Human driver instead of a Robocar: Personalized comfortable driving experience for autonomous vehicles. - Il Bae; Jaeyoung Moon; Junekyo Jhung; Ho Suk; Taewoo Kim 002; Hyunbin Park; Jaekwang Cha; Jincheol Kim; Dohyun Kim 006; Shiho Kim (CoRR, 2020)

Qualifying 5G SA for L4 Automated Vehicles in a Multi-PLMN Experimental Testbed. - Giancarlo Pastor; Edward Mutafungwa; José Costa-Requena; Xuebing Li; Oussama El Marai; Norshahida Saba; Aziza Zhanabatyrova; Yu Xiao 001; Timo Mustonen; Matthieu Myrsky; Lauri Lammi; Umar Zakir Abdul Hamid; et al. (VTC Spring, 2021)

Chapter Three - Hardware accelerator systems for artificial intelligence and machine learning. - Hyunbin Park; Shiho Kim (Adv. Comput., 2021)

Chapter Ten - Hardware accelerator for training with integer backpropagation and probabilistic weight update. - Hyunbin Park; Shiho Kim (Adv. Comput., 2021)

TMA: Tera-MACs/W neural hardware inference accelerator with a multiplier-less massive parallel processor. - Hyunbin Park; Dohyun Kim 006; Shiho Kim (Int. J. Circuit Theory Appl., 2021)

Excavator Posture Estimation and Position Tracking System Based on Kinematics and Sensor Network to Control Mist-Spraying Robot. - Sang-Woong Lee; Hyunbin Park; Baeksuk Chu (IEEE Access, 2022)