no code implementations • 18 Nov 2022 • Ho Suk, Taewoo Kim, Hyungbin Park, Pamul Yadav, Junyong Lee, Shiho Kim
Despite the rapid improvement of autonomous driving technology in recent years, automotive manufacturers must resolve liability issues to commercialize autonomous passenger car of SAE J3016 Level 3 or higher.
no code implementations • 17 Feb 2022 • Pamul Yadav, Ashutosh Mishra, Junyong Lee, Shiho Kim
Deep Reinforcement Learning (DRL) aims to create intelligent agents that can learn to solve complex problems efficiently in a real-world environment.
no code implementations • 12 Jan 2020 • Il Bae, Jaeyoung Moon, Junekyo Jhung, Ho Suk, Taewoo Kim, Hyungbin Park, Jaekwang Cha, Jinhyuk Kim, Dohyun Kim, Shiho Kim
Moreover, we propose a vehicle controller based on control parameters enabling integrated lateral and longitudinal control via preference-aware maneuvering of autonomous vehicles.
no code implementations • 8 Sep 2019 • Hyunbin Park, Dohyun Kim, Shiho Kim
The key figure of merit in hardware inference accelerators is the number of multiply-and-accumulation operations per watt (MACs/W), where, the state-of-the-arts MACs/W remains several hundreds Giga-MACs/W.
Distributed, Parallel, and Cluster Computing Hardware Architecture Signal Processing