SAIL publication pages
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2026
A Framework for Large Language Model-based Auto-Labeling and Validation using Reliable Keywords to Analyze Causes of Autonomous Vehicle Disengagements
A Graph-based VAE Framework for Capturing Complex Inter-Vehicle Dynamcis in Trajectory generation
An LLM-RAG Method for DRT Operational Diagnosis and Policy Drafting
Anticipatory driving maneuver for safety and comfort: Temporal graph cross attention-based front vehicle trajectory prediction
Cloud-NPU Integrated Camera FoV Misalignment Management Framework for Large-Scale Intelligent Traffic Surveillance
Comfort-Centeric Trajectory Prediction for Autonomous Driving Via Temporal Graph Cross Attention
Ctx2TrajGen: Traffic Context-Aware Microscale Vehicle Trajectories using Generative Adversarial Imitation Learning
DRIFT open benchmark: Drone-derived intelligence for traffic monitoring in urban environments
DRIFT Open Dataset: A Drone-Derived Intelligence for Traffic Analysis in Urban Environment
EEG-based Drowsiness Detecting in Driving using Random Forest Model
Identifying Risky Driving Behavior Patterns of Commercial Vehicles using Multidimensional Analysis and Spatiotemporal Clustering: A Case of Daejeon, South Korea
Interaction-aware scene-level multi-vehicle trajectory synthesis with generative latent representations
KeyRe-ID: Keypoint-Guided Person Re-Identification using Part-Aware Representation in Videos
Lane-changing imminence-aware trajectory prediction via spatio-temporal context modeling for mixed traffic
LLM-based Traffic Simulation Network Generation with Structural Consistency
Multidimensional Analysis on Commercial Vehicles' Risky Driving Behaviors using Data Cube and OLAP Operations: A Case Study in Daejeon City, South Korea
Multidimensional Risk Profiling for Commercial Vehicle Safety Operations and Policy using Driving Records and Company-Driver Attritues
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision
Recognizing Unknown Road Hazrads: Out-of-Distribution Segmentation for Autonomous Driving Safety
Theorising Service Routines through Ontological Granularity and Behavioural Sequencing
Traffic Context-Aware Microscale Vehicle Trajectory Generation using Generative Adverserial Imitation Learning
근거기반 수요응답형 교통 운영 정책 생성을 위한 RAG-LLM 프레임워크: 사회경제지표와 문헌 근거를 중심으로
2025
A Multi-Modal Approach for Detecting Drivers’ Distraction using Bio-Signal and Vision Sensor Fusion in Driver Monitoring Systems
A Smart Livestock Framework for Multimodal Abnormally Screaming Pig Identification and Behavioral Reporting in Group-Housed Environments
Attention-Driven Lane Change Trajectory Prediction with Traffic Context in Urban Environments
DARK-LLM: Description data auto-labeling with reliable keyword using large language model for analyzing causes of autonomous vehicle disengagements
Decision Transformer 기반의 진출입로 차량의 Selfish Cutting-In 행동 예측
DEVICE FOR RECOGNIZING CONTEXT OF VOICE PHISHING IN REAL TIME DURING CALL AND OPERATING METHOD THEREOF
Do enhanced school zone policies improve pedestrians' safety?: A deep learning-based case study of Osan City, South Korea
Driving Scene Context-Augmented Trajectory Prediction with Risk-Aware Decision Reasoning using Multimodal LLMs
DSC-LLM: Driving Scene Context Representation-Based Trajectory Prediction Framework with Risk Factor Reasoning Using LLMs
Federated Learning-based Road Surveillance System in Distributed CCTV Environment: Pedestrian Fall Recognition using Spatio-Temporal Attention Networks
FLAMe: Federated Learning with Attention Mechanism using Spatio-Temporal Keypoint Transformers for Pedestrian Fall Detection in Smart Cities
SaliencyMix+: Noise-Minimized Image Mixing Method With Saliency Map in Data Augmentation
SolarNexus: A deep learning framework for adaptive photovoltaic power generation forecasting and scalable management
TRACS-LLM: LLM-based traffic accident criminal sentencing prediction focusing on imprisonment, probation, and fines
Traffic Context-Augmented Vehicle Trajectory Prediction Framework using Multimodal LLM
전방 차량의 선제적 기동 판단을 통한 신뢰 가능한 자율주행 시스템 연구
2024
A novel approach for reliable pedestrian trajectory collection with behavior-based trajectory reconstruction for urban surveillance systems
IMAGE ANALYSIS DEVICE, IMAGE ANALYSIS METHOD FOR TELECOMMUTING WORK SECURITY AND TERMINAL DEVICE INCLUDING THE SAME
Integrating visual and community environments in a motorcycle crash and casualty estimation
Method on Efficient Operation of Multiple Models for Vision-Based In-Flight Risky Behavior Recognition in UAM Safety and Security
SolarFlux Predictor: A Novel Deep Learning Approach for Photovoltaic Power Forecasting in South Korea
VIDEO CONFERENCE DEVICE AND IMAGE ANALYSIS METHOD THEREOF
VIDEO CONFERENCE DEVICE AND IMAGE ANALYSIS METHOD THEREOF
데이터 큐브 모델을 활용한 DTG 데이터 기반의 상업용 차량 위험운전행동에 대한 다차원 분석
드론 영상 인식과 Transformer를 활용한 도심 주행 차량의 차로 변경 예측 모델 연구
자연어처리 기반의 도로교통사고 판결예측 시스템: 교통사고상황 텍스트 정보 활용을 중심으로
2023
Deep Learning and Geometry Flow Vector Using Estimating Vehicle Cuboid Technology in a Monovision Environment
From Prediction to Prevention: Leveraging Deep Learning in Traffic Accident Prediction Systems
How do crosswalk delays affect pedestrian access in zoning areas? Walking access reduction by signalized crosswalks in Seoul, South Korea
NAVIBox: Real-Time Vehicle–Pedestrian Risk Prediction System in an Edge Vision Environment
드라이브 스루 매장 주변의 교통체증 개선을 위한 로봇을 활용한 음식 배송 시스템 및 그 방법
원격근무 보안을 위한 영상 분석 장치 및 방법
자연어처리 기반의 가사생성장치 및 방법
컴퓨터 비전 기반의 횡단보도 내 차량-보행자 간 잠재적 충돌 위험 인식 방법 및 분석에 관한 연구
통화 중 실시간으로 보이스피싱의 맥락을 인식하는 장치 및 동작 방법
화상 회의 장치 및 그것의 영상 분석 방법
화상 회의 장치 및 그것의 영상 품질 검증 방법
2022
A novel method of predictive collision risk area estimation for proactive pedestrian accident prevention system in urban surveillance infrastructure
Analyzing vehicle-pedestrian interactions: Combining data cube structure and predictive collision risk estimation model
Asymmetric Long-Term Graph Multi-Attention Network for Traffic Speed Prediction
Deep Learning-based Approach on Risk Estimation of Urban Traffic Accident
Identification and Extracting Method of Exterior Building Information on 3D Map
Optimization of building material selection for energy saving in commercial buildings in different climatic conditions
Stacking deep transfer learning for short-term cross building energy prediction with different seasonality and occupant schedule
Vision-Based Pedestrian’s Crossing Risky Behavior Extraction and Analysis for Intelligent Mobility Safety System
도시환경정보 기반의 데이터 큐브 모델을 이용한 이륜차 사고의 다차원 요인 분석