no code implementations • 27 May 2022 • Haoxin Wang, BaekGyu Kim, Jiang Xie, Zhu Han
In this paper, we design an edge-based energy-aware MAR system that enables MAR devices to dynamically change their configurations, such as CPU frequency, computation model size, and image offloading frequency based on user preferences, camera sampling rates, and available radio resources.
no code implementations • 16 Dec 2020 • Qiang Liu, Tao Han, Jiang, Xie, BaekGyu Kim
In this paper, we propose LiveMap, a real-time dynamic map, that detects, matches, and tracks objects on the road with crowdsourcing data from connected vehicles in sub-second.
no code implementations • 26 Nov 2020 • Haoxin Wang, BaekGyu Kim, Jiang Xie, Zhu Han
In order to accurately measure the energy consumption on the smartphone and obtain the breakdown of energy consumed by each phase of the object detection processing pipeline, we propose a new measurement strategy.
no code implementations • 26 Sep 2020 • Haoxin Wang, Tingting Liu, BaekGyu Kim, Chung-Wei Lin, Shinichi Shiraishi, Jiang Xie, Zhu Han
These requirements ask for a well-designed computing architecture to support the Quality-of-Service (QoS) of CV applications.
Networking and Internet Architecture
no code implementations • 17 Aug 2020 • Weichao Zhou, Ruihan Gao, BaekGyu Kim, Eunsuk Kang, Wenchao Li
The key idea behind our approach is the formulation of a trajectory optimization problem that allows the joint reasoning of policy update and safety constraints.
no code implementations • 15 Apr 2019 • Alesia Chernikova, Alina Oprea, Cristina Nita-Rotaru, BaekGyu Kim
Deep Neural Networks (DNNs) have tremendous potential in advancing the vision for self-driving cars.
no code implementations • 20 Feb 2019 • Ziran Wang, Kyuntae Han, BaekGyu Kim, Guoyuan Wu, Matthew J. Barth
Different from previous studies in this field where control gains of the consensus algorithm are pre-determined and fixed, we develop algorithms to build up a lookup table, searching for the ideal control gains with respect to different initial conditions of CAVs in real time.