Seungwon Choi
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View article: Statistical Uncertainty Learning for Robust Visual-Inertial State Estimation
Statistical Uncertainty Learning for Robust Visual-Inertial State Estimation Open
A fundamental challenge in robust visual-inertial odometry (VIO) is to dynamically assess the reliability of sensor measurements. This assessment is crucial for properly weighting the contribution of each measurement to the state estimate.…
View article: GUARD: Toward a Compromise between Traditional Control and Learning for Safe Robot Systems
GUARD: Toward a Compromise between Traditional Control and Learning for Safe Robot Systems Open
This paper presents the framework \textbf{GUARD} (\textbf{G}uided robot control via \textbf{U}ncertainty attribution and prob\textbf{A}bilistic kernel optimization for \textbf{R}isk-aware \textbf{D}ecision making) that combines traditional…
View article: Innovations in non-flammable and flame-retardant electrolytes for safer lithium-ion batteries
Innovations in non-flammable and flame-retardant electrolytes for safer lithium-ion batteries Open
This highlight summarizes various strategies to enhance the safety of electrolytes in lithium-ion batteries, including the design of non-flammable and flame-retardant electrolytes and suggests next directions for safer electrolyte developm…
View article: Power-Efficient Deep Neural Network Accelerator Minimizing Global Buffer Access without Data Transfer between Neighboring Multiplier—Accumulator Units
Power-Efficient Deep Neural Network Accelerator Minimizing Global Buffer Access without Data Transfer between Neighboring Multiplier—Accumulator Units Open
This paper presents a novel method for minimizing the power consumption of weight data movements required by a convolutional operation performed on a two-dimensional multiplier–accumulator (MAC) array of a deep neural-network accelerator. …
View article: Minimizing Global Buffer Access in a Deep Learning Accelerator Using a Local Register File with a Rearranged Computational Sequence
Minimizing Global Buffer Access in a Deep Learning Accelerator Using a Local Register File with a Rearranged Computational Sequence Open
We propose a method for minimizing global buffer access within a deep learning accelerator for convolution operations by maximizing the data reuse through a local register file, thereby substituting the local register file access for the p…
View article: TIPS: Transformer Based Indoor Positioning System Using Both CSI and DoA of WiFi Signal
TIPS: Transformer Based Indoor Positioning System Using Both CSI and DoA of WiFi Signal Open
In a channel state information (CSI) based indoor positioning system, the positioning performance becomes susceptible to multipath fading effects especially in non-line-of-sight environments. We propose a transformer-based indoor positioni…
View article: A Novel Procedure of Enhancing the Throughput of a Mode-2 Sidelink Based on Partial Sensing
A Novel Procedure of Enhancing the Throughput of a Mode-2 Sidelink Based on Partial Sensing Open
Partial sensing is used to reduce the power consumption of pedestrian user equipment (P-UE) that operates in the signal environment of a mode-2 sidelink. However, because the data trans-mission is allowed only for the window duration of ea…
View article: Deep-Learning-Based Wi-Fi Indoor Positioning System Using Continuous CSI of Trajectories
Deep-Learning-Based Wi-Fi Indoor Positioning System Using Continuous CSI of Trajectories Open
In a Wi-Fi indoor positioning system (IPS), the performance of the IPS depends on the channel state information (CSI), which is often limited due to the multipath fading effect, especially in indoor environments involving multiple non-line…
View article: Peak-to-Average Power Ratio Reduction Method Based on Partial Transmit Sequence and Discrete Fourier Transform Spreading
Peak-to-Average Power Ratio Reduction Method Based on Partial Transmit Sequence and Discrete Fourier Transform Spreading Open
Recently, filter bank multicarrier with offset quadrature amplitude modulation (FBMC/OQAM) has received increasing attention from researchers, owing to its merits and superior spectral efficiency. High peak-to-average power ratio (PAPR) oc…
View article: Deep-Learning-Based Frame Format Detection for IEEE 802.11 Wireless Local Area Networks
Deep-Learning-Based Frame Format Detection for IEEE 802.11 Wireless Local Area Networks Open
Backward compatibility is one of the key issues for radio equipment that supports IEEE 802.11, which is a typical communication protocol for wireless local area networks (WLANs). For achieving successful packet decoding with backward compa…
View article: ETSI-Standard Reconfigurable Mobile Device With an Opportunistic Multi-Antenna System Based on Radio and Non-Radio Contexts
ETSI-Standard Reconfigurable Mobile Device With an Opportunistic Multi-Antenna System Based on Radio and Non-Radio Contexts Open
In state-of-the-art mobile devices (MDs), non-radio contexts (i.e., non-real-time data) provided by various sensors have been excluded in determining the modem configuration because of the problems in applying them in real-time modem opera…
View article: Data Plane Framework for Software-Defined Radio Access Network Based on ETSI-Standard Mobile Device Architecture
Data Plane Framework for Software-Defined Radio Access Network Based on ETSI-Standard Mobile Device Architecture Open
This paper addresses how to achieve efficient programmability and software portability in the data plane of a software-defined radio access network (SDRAN). We assume a cloud RAN environment that builds on multi-vendor hardware components.…
View article: Highly Efficient Representation Of Reconfigurable Code Based On A Radio Virtual Machine: Optimization To Any Target Platform
Highly Efficient Representation Of Reconfigurable Code Based On A Radio Virtual Machine: Optimization To Any Target Platform Open
Publication in the conference proceedings of EUSIPCO, Kos island, Greece, 2017
View article: Adaptive Automotive Communications Solutions Of 10 Years Lifetime Enabled By Etsi Rrs Software Reconfiguration Technology
Adaptive Automotive Communications Solutions Of 10 Years Lifetime Enabled By Etsi Rrs Software Reconfiguration Technology Open
Publication in the conference proceedings of EUSIPCO, Kos island, Greece, 2017
View article: ETSI-Standard Reconfigurable Mobile Device for Supporting the Licensed Shared Access
ETSI-Standard Reconfigurable Mobile Device for Supporting the Licensed Shared Access Open
In order for a Mobile Device (MD) to support the Licensed Shared Access (LSA), the MD should be reconfigurable, meaning that the configuration of a MD must be adaptively changed in accordance with the communication standard adopted in a gi…
View article: Online Calibration for LTE-Based Antenna Array System
Online Calibration for LTE-Based Antenna Array System Open
This paper presents a novel calibration method that equalizes the impulse responses of all the Radio Frequency (RF) modules of an antenna array system operating in Long-Term Evolution (LTE) evolved NodeB (eNB). The proposed technique utili…
View article: Channel Grade Method of multi-mode mobile device for avoiding Interference at WPAN
Channel Grade Method of multi-mode mobile device for avoiding Interference at WPAN Open
There is a new evolution in technological advancement taking place called the Internet of Things (IoT), The IoT enables physical world objects in our surrounding to be connected to the Internet. ISM (Industrial Scientific Medical) band tha…