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Showing results 1 to 20 of 26

3D Adaptive Structural Convolution Network for Domain-Invariant Point Cloud Recognition
  • 2025-01-01
  • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol.15480 LNCS, pp.419-435
  • Springer Science and Business Media Deutschland GmbH
3D Directional Encoding for Point Cloud Analysisoa mark
  • 2024-01-01
  • IEEE Access, Vol.12, pp.144533-144543
  • Institute of Electrical and Electronics Engineers Inc.
Automated Driving Vehicles
  • 2022-01-01
  • CISM International Centre for Mechanical Sciences, Courses and Lectures, Vol.603, pp.289-387
  • Springer Science and Business Media Deutschland GmbH
Collision Prediction in an Integrated Framework of Scenario-Based and Data-Driven Approachesoa mark
  • 2024-01-01
  • IEEE Access, Vol.12, pp.55234-55247
  • Institute of Electrical and Electronics Engineers Inc.
Critical scenario generation for collision avoidance of automated vehicles based on traffic accident analysis and machine learningoa mark
  • 2020-11-01
  • Transactions of the Korean Society of Automotive Engineers, Vol.28 No.11, pp.817-826
  • Korean Society of Automotive Engineers
Data-Driven Strategy Decision Integrating Convolution Neural Network With Threat Assessment and Motion Prediction for Automatic Evasive Steeringoa mark
  • 2023-01-01
  • IEEE Access, Vol.11, pp.140881-140892
  • Institute of Electrical and Electronics Engineers Inc.
Development of Test Cases for Automated Vehicle Driving Safety Assessment Using Driving Trajectoriesoa mark
  • 2024-12-01
  • Sensors, Vol.24 No.24
  • Multidisciplinary Digital Publishing Institute (MDPI)
Domain Separation Aided Data Efficiency Enhancement for Thermal Object Detection
  • 2025-01-01
  • 2025 International Conference on Electronics, Information, and Communication, ICEIC 2025
  • Institute of Electrical and Electronics Engineers Inc.
Domain-Invariant 3D Structural Convolutional Network for Autonomous Driving Point Cloud Dataset
  • 2024-01-01
  • IEEE Intelligent Vehicles Symposium, Proceedings, pp.1542-1547
  • Institute of Electrical and Electronics Engineers Inc.
Efficient Deep Learning Approaches for Processing Ultra-widefield Retinal Imaging
  • 2025-01-01
  • Lecture Notes in Computer Science, Vol.15597 LNCS, pp.125-134
  • Springer Science and Business Media Deutschland GmbH
Hybrid spatial and channel attention in post-accident object detectionoa mark
  • 2025-01-01
  • IET Intelligent Transport Systems, Vol.19 No.1
  • John Wiley and Sons Inc
Imagination-Augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environmentsoa mark
  • 2024-01-01
  • IEEE Transactions on Intelligent Transportation Systems, Vol.25 No.12, pp.19522-19535
  • Institute of Electrical and Electronics Engineers Inc.
M-ABCNet: Multi-Modal Aircraft Motion Behavior Classification Network at Airport Rampsoa mark
  • 2024-01-01
  • IEEE Access, Vol.12, pp.133982-133993
  • Institute of Electrical and Electronics Engineers Inc.
Maneuver Classification of Lane Change Based on Roadside Sensors Using Field Operational Test Dataoa mark
  • 2022-01-01
  • Transactions of the Korean Society of Automotive Engineers, Vol.30 No.10, pp.831-838
  • Korean Society of Automotive Engineers
Method of Evaluating Multiple Scenarios in a Single Simulation Run for Automated Vehicle Assessmentoa mark
  • 2023-10-01
  • Sensors, Vol.23 No.19
  • Multidisciplinary Digital Publishing Institute (MDPI)
Mosaic-Mixed Attention-Based Unexpected Traffic Scene Classification
  • 2025-01-01
  • IEEE Access, Vol.13, pp.15712-15722
  • Institute of Electrical and Electronics Engineers Inc.
Multi-Task Prediction of Collision and Trajectories Based on Transformer Network for Safety-Critical Scenarios of Automated Vehicles 위험 시나리오에 대한 트랜스포머 네트워크 기반 자율주행차량의 충돌 및 궤적 예측 알고리즘 개발oa mark
  • 2024-10-01
  • Transactions of the Korean Society of Automotive Engineers, Vol.32 No.10, pp.843-852
  • Korean Society of Automotive Engineers
Parameter Selection of Safety-Critical Scenarios Based on Scenario Database and Generative Models and Its Application to Generation of Car-Following and Cut-in Scenarios 시나리오 데이터베이스와 생성형 모델을 이용한 상세 시나리오의 파라미터 선정과 선행차량 추종 및 끼어들기 시나리오 생성으로의 적용oa mark
  • Jeong, Seonarm;
  • Lee, Semin;
  • Jeong, Younghun;
  • Kim, Seunghwan;
  • Song, Bongsob
  • 2024-01-01
  • Transactions of the Korean Society of Automotive Engineers, Vol.32 No.3, pp.309-317
  • Korean Society of Automotive Engineers
Safe and Efficient Trajectory Optimization for Autonomous Vehicles Using B-Spline With Incremental Path Flatteningoa mark
  • Choi, Jongseo;
  • Chin, Hyuntai;
  • Park, Hyunwoo;
  • Kwon, Daehyeok;
  • Baek, Doosan;
  • Lee, Sang Hyun
  • 2025-01-01
  • IEEE Transactions on Intelligent Transportation Systems, Vol.26 No.2, pp.1797-1811
  • Institute of Electrical and Electronics Engineers Inc.
SBDD-Net: Cross-Source Robust 3D Structural Block and Double Descriptor for Point Place Recognitionoa mark
  • 2024-01-01
  • IEEE Access
  • Institute of Electrical and Electronics Engineers Inc.
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