Jingdao Chen

According to our database, Jingdao Chen authored at least 26 papers between 2017 and 2024.

Collaborative distances:

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

2024

AI Ethics: A Bibliometric Analysis, Critical Issues, and Key Gaps.

Di Kevin Gao, Andrew Haverly, Sudip Mittal, Jiming Wu, Jingdao Chen

CoRR, 2024

A Bibliometric View of AI Ethics Development.

Di Kevin Gao, Andrew Haverly, Sudip Mittal, Jingdao Chen

CoRR, 2024

Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities.

Subash Neupane, Shaswata Mitra, Ivan A. Fernandez, Swayamjit Saha, Sudip Mittal, Jingdao Chen, Nisha Pillai, Shahram Rahimi

IEEE Access, 2024

2023

URA*: Uncertainty-aware Path Planning using Image-based Aerial-to-Ground Traversability Estimation for Off-road Environments.

Charles Moore, Shaswata Mitra, Nisha Pillai, Marc Moore, Sudip Mittal, Cindy L. Bethel, Jingdao Chen

CoRR, 2023

Analysis of LiDAR Configurations on Off-road Semantic Segmentation Performance.

Jinhee Yu, Jingdao Chen, Lalitha Dabbiru, Christopher T. Goodin

CoRR, 2023

A Hybrid Semantic-Geometric Approach for Clutter-Resistant Floorplan Generation from Building Point Clouds.

Seongyong Kim, Yosuke Yajima, Jisoo Park, Jingdao Chen, Yong Kwon Cho

CoRR, 2023

AI Security Threats against Pervasive Robotic Systems: A Course for Next Generation Cybersecurity Workforce.

Sudip Mittal, Jingdao Chen

CoRR, 2023

2022

Mars Terrain Segmentation with Less Labels.

Edwin Goh, Jingdao Chen, Brian Wilson

CoRR, 2022

CrackEmbed: Point feature embedding for crack segmentation from disaster site point clouds with anomaly detection.

Jingdao Chen, Yong Kwon Cho

Adv. Eng. Informatics, 2022

Improving Contrastive Learning on Visually Homogeneous Mars Rover Images.

Isaac Ronald Ward, Charles Moore, Kai Pak, Jingdao Chen, Edwin Goh

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Mixed-Domain Training Improves Multi-mission Terrain Segmentation.

Grace Vincent, Alice Yepremyan, Jingdao Chen, Edwin Goh

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud Segmentation.

Jingdao Chen, Zsolt Kira, Yong Kwon Cho

IEEE Robotics Autom. Lett., 2021

2020

CNN-Based Person Detection Using Infrared Images for Night-Time Intrusion Warning Systems.

Jisoo Park, Jingdao Chen, Yong Kwon Cho, Dae Y. Kang, Byung J. Son

Sensors, 2020

Point Cloud Scene Completion of Obstructed Building Facades with Generative Adversarial Inpainting.

Jingdao Chen, John Seon Keun Yi, Mark Kahoush, Erin S. Cho, Yong Kwon Cho

Sensors, 2020

2019

Multi-View Incremental Segmentation of 3-D Point Clouds for Mobile Robots.

Jingdao Chen, Yong Kwon Cho, Zsolt Kira

IEEE Robotics Autom. Lett., 2019

Deep Learning Approach to Point Cloud Scene Understanding for Automated Scan to 3D Reconstruction.

Jingdao Chen, Zsolt Kira, Yong Kwon Cho

J. Comput. Civ. Eng., 2019

Multi-view Incremental Segmentation of 3D Point Clouds for Mobile Robots.

Jingdao Chen, Yong Kwon Cho, Zsolt Kira

CoRR, 2019

Detection of Damaged Infrastructure on Disaster Sites using Mobile Robots.

Jingdao Chen, Yong Kwon Cho

Proceedings of the 16th International Conference on Ubiquitous Robots, 2019

2018

Automated Point Cloud Registration Using Visual and Planar Features for Construction Environments.

Pileun Kim, Jingdao Chen, Yong Kwon Cho

J. Comput. Civ. Eng., 2018

Object-sensitive potential fields for mobile robot navigation and mapping in indoor environments.

Jingdao Chen, Pileun Kim, Yong Kwon Cho, Jun Ueda

Proceedings of the 15th International Conference on Ubiquitous Robots, 2018

Sampled-Point Network for Classification of Deformed Building Element Point Clouds.

Jingdao Chen, Yong Kwon Cho, Jun Ueda

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

SLAM-Driven Intelligent Autonomous Mobile Robot Navigation for Construction Applications.

Pileun Kim, Jingdao Chen, Jitae Kim, Yong Kwon Cho

Proceedings of the Advanced Computing Strategies for Engineering, 2018

2017

Principal Axes Descriptor for Automated Construction-Equipment Classification from Point Clouds.

Jingdao Chen, Yihai Fang, Yong Kwon Cho, Changwan Kim

J. Comput. Civ. Eng., 2017

Real-Time 3D Crane Workspace Update Using a Hybrid Visualization Approach.

Jingdao Chen, Yihai Fang, Yong Kwon Cho

J. Comput. Civ. Eng., 2017

Robotic sensing and object recognition from thermal-mapped point clouds.

Pileun Kim, Jingdao Chen, Yong Kwon Cho

Int. J. Intell. Robotics Appl., 2017

Self-corrective knowledge-based hybrid tracking system using BIM and multimodal sensors.

JeeWoong Park, Jingdao Chen, Yong Kwon Cho

Adv. Eng. Informatics, 2017