Minjae Sung

Changwon Kang

Kyungok Yang

Jisong Kim

Taein Son

Yecheol Kim

Sehwan Choi

Jaesoon Baik

Younji Shin

Junho Koh

Byeongdo Kim

Sun Hong Lim

Jin Hyeok Yoo

Jae Kyum Kim

Syed Ali Irtaza

Jeongseon Choi

Chanhyuk Lee

Byunghyun Lee

Byungwoo Park

Kunhoon Kim

Jungoo Ji

Jisu Yoon

Youngwoo Lee

Kwangjin Choi

Chanwoo Lee

Chanik Jang

Jongwook Bae

JunHyung Lee

Minwook Kim

Sherzodbek Tojimahammatov

Elbek Khoshimjonov

TaeHwan Hwang

Heejin Song

Seong Hyeon Park

Junghoon Seo

Jinwan Lee

Yubin Ahn

Junghwan Lee

Jisu Bae

Sucheol Shin

The Autonomous Driving and Robotics Lab focuses on advancing artificial intelligence and data processing techniques for autonomous driving and robotics. The lab aims to contribute to technological advancements in these fields. Undergraduate internship opportunities are available during the summer and winter.

자율주행 및 로봇 연구실은 자율주행 및 로봇 공학 분야의 인공지능 및 데이터 처리 기술 발전에 중점을 둔다. 인공지능 및 로봇 기술 발전을 주도하고 있으며, 학부생 인턴십 프로그램은 여름과 겨울에 운영된다.

STONE Dataset: Scalable 3D Traversability Dataset with Multi-sensor Surround-View for Robot Navigation in Off-road Environments

Image-text driven style randomization for domain generalized semantic segmentation

RAISA: A Vision-based Intelligent Safety Guidance Agent for Railway Operations via Modular Prompt-Orchestrated Reasoning

Context-Adaptive and Robust Planning with Dynamic Scene Awareness for Autonomous Driving

MR-Occ: Efficient Camera-LiDAR 3D Semantic Occupancy Prediction Using Hierarchical Multi-Resolution Voxel Representation

Layer-Wise Modality Decomposition for Interpretable Multimodal Sensor Fusion

RCTDistill: Cross-Modal Knowledge Distillation Framework for Radar-Camera 3D Object Detection with Temporal Fusion

MAESTRO: Task-Relevant Optimization via Adaptive Feature Enhancement and Suppression for Multi-task 3D Perception

OnlineBEV: Recurrent Temporal Fusion in Bird's Eye View Representations for Multi-Camera 3D Perception

Unified Contrastive Fusion Transformer for Multimodal Human Action Recognition

Diagnosis of Unilateral Vocal Fold Paralysis using Auto-diagnostic Deep Learning Model

Resilient Sensor Fusion under Adverse Sensor Failures via Multi-Modal Expert Fusion

ProtoOcc: Accurate, Efficient 3D Occupancy Prediction Using Dual Branch Encoder-Prototype Query Decoder

JoVALE: Detecting Human Actions in Video Using Audiovisual and Language Contexts

Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object Detection

CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object Detection

JARViS: Detecting Actions in Video Using Unified Actor-Scene Context Relation Modeling

Mask2Map: Vectorized HD Map Construction Using Bird's Eye View Segmentation Masks

Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labels

RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features

RCM-Fusion: Radar-Camera Multi-Level Fusion for 3D Object Detection

Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object Detection

PillarGen: Enhancing Radar Point Cloud Density and Quality via Pillar-based Point Generation Network

SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving

DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation for Long-tailed Visual Recognition

3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection

SiT Dataset: Socially Interactive Pedestrian Trajectory Dataset for Social Navigation Robots

R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement

CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception

MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object Detection

CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer

D-Align: Dual Query Co-attention Network for 3D Object Detection Based on Multi-frame Point Cloud Sequence

Deep Q-Network Based Beam Tracking for Mobile Millimeter-Wave Communications

Diverse Multiple Trajectory Prediction Using a Two-stage Prediction Network Trained with Lane Loss

Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision

Are Reactions to Ego Vehicles Predictable Without Data?: A Semi-Supervised Approach

Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds

ST-CoNAL: Consistency-Based Acquisition Criterion Using Temporal Self-ensemble for Active Learning

Learning from data with noisy labels using temporal self-ensemble

카메라-라이다 센서 융합을 위한 캘리브레이션 기법 소개

LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents

Joint Representation of Temporal Image Sequences and Object Motion for Video Object Detection

Deep Learning-based Diagnosis of Glaucoma Using Wide-field Optical Coherence Tomography Images

Deep Learning-Based Beam Tracking for Millimeter-Wave Communications Under Mobility

Emotion Recognition Using a Glasses-Type Wearable Device via Multi-Channel Facial Responses

3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection

Estimation of Dynamically Varying Support of Sparse Signals via Sequential Monte-Carlo Method

Efficient Beam Training and Sparse Channel Estimation for Millimeter Wave Communications Under Mobility

SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural Network

GRIF Net: Gated Region of Interest Fusion Network for Robust 3D Object Detection from Radar Point Cloud and Monocular Image

Downlink Pilot Precoding and Compressed Channel Feedback for FDD-Based Cell-Free Systems

RECUP Net: RECUrsive Prediction Network for Surrounding Vehicle Trajectory Prediction with Future Trajectory Feedback

Video Object Detection Using Object's Motion Context and Spatio-Temporal Feature Aggregation

ScarfNet: Multi-scale Features with Deeply Fused and Redistributed Semantics for Enhanced Object Detection

Enhanced Object Detection in Bird's Eye View Using 3D Global Context Inferred From Lidar Point Data

May I Cut Into Your Lane?: A Policy Network to Learn Interactive Lane Change Behavior for Autonomous Driving

Guest Editorial Introduction to the Special Issue on Intelligent Transportation Systems Empowered by AI Technologies

Greedy Data-Aided Active User Detection for Massive Machine Type Communications

Robust Deep Multi-modal Learning Based on Gated Information Fusion Network

Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture

Robust Camera Lidar Sensor Fusion Via Deep Gated Information Fusion Network

Probabilistic Vehicle Trajectory Prediction over Occupancy Grid Map via Recurrent Neural Network

Autonomous Braking System via Deep Reinforcement Learning

Compressed Sensing for Wireless Communications: Useful Tips and Tricks

Expectation-Maximization-Based Channel Estimation for Multiuser MIMO Systems

Detection of Large-Scale Wireless Systems via Sparse Error Recovery

Design of Low-Power Voltage Scalable Arithmetic Units with Perfect Timing Error Cancelation

Scalable Source Transmission With Unequal Frequency Reuse in MIMO Cellular Networks

Robust Automatic Modulation Classification Technique for Fading Channels via Deep Neural Network

Robust Beam-Tracking for mmWave Mobile Communications

Sparse signal recovery via tree search matching pursuit

Near-ultrasound communication for TV's 2nd screen services

Deep neural network-based automatic modulation classification technique

Statistical Recovery of Simultaneously Sparse Time-Varying Signals From Multiple Measurement Vectors

Artificial Intelligence & Autonomous Driving (ADR) Laboratory

교수님 소개

최준원

연구실 소개

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

STONE Dataset: Scalable 3D Traversability Dataset with Multi-sensor Surround-View for Robot Navigation in Off-road Environments

Image-text driven style randomization for domain generalized semantic segmentation

RAISA: A Vision-based Intelligent Safety Guidance Agent for Railway Operations via Modular Prompt-Orchestrated Reasoning

연구실 보유 특허

대학별 입시끈

우리 연구실 모집

교수님 소개

최준원

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

STONE Dataset: Scalable 3D Traversability Dataset with Multi-sensor Surround-View for Robot Navigation in Off-road Environments

Image-text driven style randomization for domain generalized semantic segmentation

RAISA: A Vision-based Intelligent Safety Guidance Agent for Railway Operations via Modular Prompt-Orchestrated Reasoning

연구실 보유 특허

최근 3년간 연구실적 높은 연구실

대학별 입시끈

우리 연구실 모집