Byeongjoon Noh

According to our database, Byeongjoon Noh authored at least 11 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

Byeongjoon Noh, Tengfeng Lin, Sungju Lee, Taikyeong Jeong

Sensors, September, 2023

2022

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

Byeongjoon Noh, Hansaem Park, Sungju Lee, Seung-Hee Nam

Sensors, 2022

Identifying the exterior image of buildings on a 3D map and extracting elevation information using deep learning and digital image processing.

Donghwa Shon, Byeongjoon Noh, Nahyang Byun

CoRR, 2022

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

Zhixiong Jin, Byeongjoon Noh, Haechan Cho, Hwasoo Yeo

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

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

Ji-Young Hwang, Byeongjoon Noh, Zhixiong Jin, Hwasoo Yeo

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

Analyzing vehicle pedestrian interactions combining data cube structure and predictive collision risk estimation model.

Byeongjoon Noh, Hansaem Park, Hwasoo Yeo

CoRR, 2021

Automated Object Behavioral Feature Extraction for Potential Risk Analysis based on Video Sensor.

Byeongjoon Noh, Wonjun No, David Lee, Hwasoo Yeo

CoRR, 2021

Vision based Pedestrian Potential Risk Analysis based on Automated Behavior Feature Extraction for Smart and Safe City.

Byeongjoon Noh, Dongho Ka, David Lee, Hwasoo Yeo

CoRR, 2021

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

Byeongjoon Noh, Hwasoo Yeo

CoRR, 2021

2018

Vision-based Overhead Front Point Recognition of Vehicles for Traffic Safety Analysis.

Byeongjoon Noh, Wonjun No, David Lee

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

2017

Movement Classification based on Acceleration Spectrogram with Dynamic Time Warping Method.

Byeongjoon Noh, KeumGang Cha, Seongju Chang

Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017