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Jingdao Chen
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2020 – today
- 2024
- [j12]Subash Neupane, Shaswata Mitra, Ivan A. Fernandez, Swayamjit Saha, Sudip Mittal, Jingdao Chen, Nisha Pillai, Shahram Rahimi:
Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities. IEEE Access 12: 22072-22097 (2024) - [i13]Di Kevin Gao, Andrew Haverly, Sudip Mittal, Jingdao Chen:
A Bibliometric View of AI Ethics Development. CoRR abs/2403.05551 (2024) - [i12]Di Kevin Gao, Andrew Haverly, Sudip Mittal, Jiming Wu, Jingdao Chen:
AI Ethics: A Bibliometric Analysis, Critical Issues, and Key Gaps. CoRR abs/2403.14681 (2024) - [i11]Ivan A. Fernandez, Subash Neupane, Trisha Chakraborty, Shaswata Mitra, Sudip Mittal, Nisha Pillai, Jingdao Chen, Shahram Rahimi:
A Survey on Privacy Attacks Against Digital Twin Systems in AI-Robotics. CoRR abs/2406.18812 (2024) - 2023
- [i10]Sudip Mittal, Jingdao Chen:
AI Security Threats against Pervasive Robotic Systems: A Course for Next Generation Cybersecurity Workforce. CoRR abs/2302.07953 (2023) - [i9]Seongyong Kim, Yosuke Yajima, Jisoo Park, Jingdao Chen, Yong Kwon Cho:
A Hybrid Semantic-Geometric Approach for Clutter-Resistant Floorplan Generation from Building Point Clouds. CoRR abs/2305.15420 (2023) - [i8]Jinhee Yu, Jingdao Chen, Lalitha Dabbiru, Christopher T. Goodin:
Analysis of LiDAR Configurations on Off-road Semantic Segmentation Performance. CoRR abs/2306.16551 (2023) - [i7]Charles Moore, Shaswata Mitra, Nisha Pillai, Marc Moore, Sudip Mittal, Cindy L. Bethel, Jingdao Chen:
URA*: Uncertainty-aware Path Planning using Image-based Aerial-to-Ground Traversability Estimation for Off-road Environments. CoRR abs/2309.08814 (2023) - [i6]Subash Neupane, Shaswata Mitra, Ivan A. Fernandez, Swayamjit Saha, Sudip Mittal, Jingdao Chen, Nisha Pillai, Shahram Rahimi:
Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities. CoRR abs/2310.08565 (2023) - 2022
- [j11]Jingdao Chen, Yong Kwon Cho:
CrackEmbed: Point feature embedding for crack segmentation from disaster site point clouds with anomaly detection. Adv. Eng. Informatics 52: 101550 (2022) - [c6]Grace Vincent, Alice Yepremyan, Jingdao Chen, Edwin Goh:
Mixed-Domain Training Improves Multi-mission Terrain Segmentation. ECCV Workshops (1) 2022: 96-111 - [c5]Isaac Ronald Ward, Charles Moore, Kai Pak, Jingdao Chen, Edwin Goh:
Improving Contrastive Learning on Visually Homogeneous Mars Rover Images. ECCV Workshops (1) 2022: 170-185 - [i5]Edwin Goh, Jingdao Chen, Brian Wilson:
Mars Terrain Segmentation with Less Labels. CoRR abs/2202.00791 (2022) - [i4]Grace Vincent, Alice Yepremyan, Jingdao Chen, Edwin Goh:
Mixed-domain Training Improves Multi-Mission Terrain Segmentation. CoRR abs/2209.13674 (2022) - [i3]Isaac Ronald Ward, Charles Moore, Kai Pak, Jingdao Chen, Edwin Goh:
Improving Contrastive Learning on Visually Homogeneous Mars Rover Images. CoRR abs/2210.09234 (2022) - 2021
- [j10]Jingdao Chen, Zsolt Kira, Yong Kwon Cho:
LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud Segmentation. IEEE Robotics Autom. Lett. 6(2): 2799-2806 (2021) - [i2]Jingdao Chen, Zsolt Kira, Yong Kwon Cho:
LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud Segmentation. CoRR abs/2103.09160 (2021) - 2020
- [j9]Jisoo Park, Jingdao Chen, Yong Kwon Cho, Dae Y. Kang, Byung J. Son:
CNN-Based Person Detection Using Infrared Images for Night-Time Intrusion Warning Systems. Sensors 20(1): 34 (2020) - [j8]Jingdao Chen, John Seon Keun Yi, Mark Kahoush, Erin S. Cho, Yong Kwon Cho:
Point Cloud Scene Completion of Obstructed Building Facades with Generative Adversarial Inpainting. Sensors 20(18): 5029 (2020)
2010 – 2019
- 2019
- [j7]Jingdao Chen, Zsolt Kira, Yong Kwon Cho:
Deep Learning Approach to Point Cloud Scene Understanding for Automated Scan to 3D Reconstruction. J. Comput. Civ. Eng. 33(4) (2019) - [j6]Jingdao Chen, Yong Kwon Cho, Zsolt Kira:
Multi-View Incremental Segmentation of 3-D Point Clouds for Mobile Robots. IEEE Robotics Autom. Lett. 4(2): 1240-1246 (2019) - [c4]Jingdao Chen, Yong Kwon Cho:
Detection of Damaged Infrastructure on Disaster Sites using Mobile Robots. UR 2019: 648-653 - [i1]Jingdao Chen, Yong Kwon Cho, Zsolt Kira:
Multi-view Incremental Segmentation of 3D Point Clouds for Mobile Robots. CoRR abs/1902.06768 (2019) - 2018
- [j5]Pileun Kim, Jingdao Chen, Yong Kwon Cho:
Automated Point Cloud Registration Using Visual and Planar Features for Construction Environments. J. Comput. Civ. Eng. 32(2) (2018) - [c3]Pileun Kim, Jingdao Chen, Jitae Kim, Yong Kwon Cho:
SLAM-Driven Intelligent Autonomous Mobile Robot Navigation for Construction Applications. EG-ICE 2018: 254-269 - [c2]Jingdao Chen, Yong Kwon Cho, Jun Ueda:
Sampled-Point Network for Classification of Deformed Building Element Point Clouds. ICRA 2018: 2164-2169 - [c1]Jingdao Chen, Pileun Kim, Yong Kwon Cho, Jun Ueda:
Object-sensitive potential fields for mobile robot navigation and mapping in indoor environments. UR 2018: 328-333 - 2017
- [j4]JeeWoong Park, Jingdao Chen, Yong Kwon Cho:
Self-corrective knowledge-based hybrid tracking system using BIM and multimodal sensors. Adv. Eng. Informatics 32: 126-138 (2017) - [j3]Pileun Kim, Jingdao Chen, Yong Kwon Cho:
Robotic sensing and object recognition from thermal-mapped point clouds. Int. J. Intell. Robotics Appl. 1(3): 243-254 (2017) - [j2]Jingdao Chen, Yihai Fang, Yong Kwon Cho, Changwan Kim:
Principal Axes Descriptor for Automated Construction-Equipment Classification from Point Clouds. J. Comput. Civ. Eng. 31(2) (2017) - [j1]Jingdao Chen, Yihai Fang, Yong Kwon Cho:
Real-Time 3D Crane Workspace Update Using a Hybrid Visualization Approach. J. Comput. Civ. Eng. 31(5) (2017)
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