Byeongjoon Noh

Byeongjoon Noh

KAIST

H-index: 9

Asia-South Korea

About Byeongjoon Noh

Byeongjoon Noh, With an exceptional h-index of 9 and a recent h-index of 8 (since 2020), a distinguished researcher at KAIST, specializes in the field of computer vision, ai, mobility.

His recent articles reflect a diverse array of research interests and contributions to the field:

Deep Learning and Geometry Flow Vector Using Estimating Vehicle Cuboid Technology in a Monovision Environment

How do crosswalk delays affect pedestrian access in zoning areas? Walking access reduction by signalized crosswalks in Seoul, South Korea

Identification and analysis of potential collision risks of vehicle-pedestrian interactions on crosswalk using computer vision technique

From prediction to prevention: Leveraging deep learning in traffic accident prediction systems

NAVIBox: Real-Time Vehicle–Pedestrian Risk Prediction System in an Edge Vision Environment

A novel method of predictive collision risk area estimation for proactive pedestrian accident prevention system in urban surveillance infrastructure

Urban structure-based factor analysis of two-wheeler accidents using data cube model

Analyzing vehicle–pedestrian interactions: Combining data cube structure and predictive collision risk estimation model

Byeongjoon Noh Information

University

Position

Post-Doctoral Researcher AIMobility Lab.

Citations(all)

299

Citations(since 2020)

239

Cited By

109

hIndex(all)

9

hIndex(since 2020)

8

i10Index(all)

9

i10Index(since 2020)

8

Email

University Profile Page

KAIST

Google Scholar

View Google Scholar Profile

Byeongjoon Noh Skills & Research Interests

computer vision

ai

mobility

Top articles of Byeongjoon Noh

Title

Journal

Author(s)

Publication Date

Deep Learning and Geometry Flow Vector Using Estimating Vehicle Cuboid Technology in a Monovision Environment

Sensors

Byeongjoon Noh

Tengfeng Lin

Sungju Lee

Taikyeong Jeong

2023/8/29

How do crosswalk delays affect pedestrian access in zoning areas? Walking access reduction by signalized crosswalks in Seoul, South Korea

Applied geography

Wonjun No

David Lee

Byeongjoon Noh

Youngchul Kim

2023/7/1

Identification and analysis of potential collision risks of vehicle-pedestrian interactions on crosswalk using computer vision technique

Journal of Korean Society of Transportation

Byeongjoon Noh

Haechan Cho

HyeJin Lee

Dongho Ka

Hwasoo Yeo

2023/2/28

From prediction to prevention: Leveraging deep learning in traffic accident prediction systems

Electronics

Zhixiong Jin

Byeongjoon Noh

2023/10/19

NAVIBox: Real-Time Vehicle–Pedestrian Risk Prediction System in an Edge Vision Environment

Electronics

Hyejin Lee

Haechan Cho

Byeongjoon Noh

Hwasoo Yeo

2023/10/18

A novel method of predictive collision risk area estimation for proactive pedestrian accident prevention system in urban surveillance infrastructure

Transportation research part C: emerging technologies

Byeongjoon Noh

Hwasoo Yeo

2022/4/1

Urban structure-based factor analysis of two-wheeler accidents using data cube model

Journal of Korean Society of Transportation

Yujin Kim

Byeongjoon Noh

Hwasoo Yeo

2022/6/30

Analyzing vehicle–pedestrian interactions: Combining data cube structure and predictive collision risk estimation model

Accident Analysis & Prevention

Byeongjoon Noh

Hansaem Park

Hwasoo Yeo

2022/2/1

Stacking deep transfer learning for short-term cross building energy prediction with different seasonality and occupant schedule

Building and Environment

Hansaem Park

Dong Yoon Park

Byeongjoon Noh

Seongju Chang

2022/6/15

OPTIMIZATION OF BUILDING MATERIAL SELECTION FOR ENERGY SAVING IN COMMERCIAL BUILDINGS IN DIFFERENT CLIMATIC CONDITIONS

Journal of Greenbuilding

J Son

B Noh

H Park

2022

Vision-Based Pedestrian’s Crossing Risky Behavior Extraction and Analysis for Intelligent Mobility Safety System

Sensors

Byeongjoon Noh

Hansaem Park

Sungju Lee

Seung-Hee Nam

2022/4/30

Deep Learning-based Approach on Risk Estimation of Urban Traffic Accidents

Zhixiong Jin

Byeongjoon Noh

Haechan Cho

Hwasoo Yeo

2022/10/8

Identification and extracting method of exterior building information on 3D map

Buildings

Donghwa Shon

Byeongjoon Noh

Nahyang Byun

2022/4/6

Asymmetric Long-Term Graph Multi-Attention Network for Traffic Speed Prediction

Jiyoung Hwang

Byeongjoon Noh

Zhixiong Jin

Hwasoo Yeo

2022/10/8

Big data processing framework for pedestrian accident risk analysis and prediction using computer vision

Byeongjoon Noh

2021

Analysis of vehicle–pedestrian interactive behaviors near unsignalized crosswalk

Transportation research record

Byeongjoon Noh

Dongho Ka

David Lee

Hwasoo Yeo

2021/8

SafetyCube: Framework for potential pedestrian risk analysis using multi-dimensional OLAP

Accident Analysis & Prevention

Byeongjoon Noh

Hwasoo Yeo

2021/6/1

Vision based pedestrian potential risk analysis based on automated behavior feature extraction for smart and safe city

arXiv preprint arXiv:2105.02582

Byeongjoon Noh

Dongho Ka

David Lee

Hwasoo Yeo

2021/5/6

Vision-Based Potential Pedestrian Risk Analysis on Unsignalized Crosswalk Using Data Mining Techniques

Applied Sciences

Byeongjoon Noh

Wonjun No

Jaehong Lee

David Lee

2020/2/5

See List of Professors in Byeongjoon Noh University(KAIST)

Co-Authors

H-index: 31
Hwasoo Yeo

Hwasoo Yeo

KAIST

H-index: 15
Youngchul Kim

Youngchul Kim

KAIST

H-index: 13
Sungju Lee

Sungju Lee

Sangmyung University

H-index: 12
David Lee

David Lee

Massachusetts Institute of Technology

H-index: 10
Hansaem Park

Hansaem Park

Korea University

H-index: 9
Dong Yoon Park

Dong Yoon Park

KAIST

academic-engine