Bo Shang

Robotics & AI Researcher

My research focuses on reliable multimodal perception and field robotics for transportation and infrastructure. I study how sensor configuration, deployment conditions, and data quality affect perception, and connect these questions to roadside LiDAR-camera sensing and robotic infrastructure inspection.

Since July 2026, I have been a Postdoctoral Associate in Civil and Environmental Engineering and the Maryland Transportation Institute at the University of Maryland, College Park, working under Professor Xianfeng Yang. I support hardware and software development, integration, testing, troubleshooting, data collection, technical documentation, and deliverables for two sponsored transportation research projects. My broader work brings together learning-based perception, ROS-based robotics, edge inference, and inspection workflows developed with public agencies.

Resume & CV

  • Research Scientist Resume · PDF — selected research contributions, projects, publications, and technical skills in robotics and multimodal perception.
  • Academic CV · PDF — the full record of appointments, publications, patents, teaching, and academic service.

Research focus

  • Multimodal perception for transportation safety — roadside LiDAR and camera sensing, object detection, vulnerable road user monitoring, and evaluation across sensor configurations.
  • Field robotics for infrastructure inspection — drone and climbing-robot systems, vision-based control, and the integration of sensing, data collection, and robotic platforms.
  • Learning from infrastructure sensor data — defect detection and mapping, 3D reconstruction, and inspection workflows that connect perception results to engineering use.

Research notes

  • AI Agent Security After 29 Attempts — a source-first postmortem on replay noise, public-leaderboard overfitting, counterbalanced experiments, and the private-guardrail reset.

Selected publications

Selected work in urban freight sensing, roadside LiDAR, vulnerable-road-user safety, and robotic infrastructure inspection.

Drive-by Sensing

Drive-by Urban Freight Sensing: Large-Scale Fine-Grained Truck Classification Using Google Street View Imagery and Deep Learning

Bo Shang, Yiqiao Li · IEEE Open Journal of Intelligent Transportation Systems, vol. 7, pp. 2327–2347 · 2026

★ Published September 4, 2026; open access

Roadside LiDAR · 1 citation

Roadside LiDAR for Cooperative Safety Auditing at Urban Intersections: Toward Auditable V2X Infrastructure Intelligence

Bo Shang, Yiqiao Li · Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 757–765 · 2026

★ DriveX Workshop on Foundation Models for Autonomous Driving; archival proceedings

NDT · Concrete · 17 citations

Robotic Inspection and Data Analytics to Localize and Visualize the Structural Defects of Concrete Infrastructure

Jinglun Feng, Bo Shang, Ejup Hoxha, César Hernández, Yang He, Weihan Wang, Jizhong Xiao · IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 22324–22336 · 2025

★ Journal paper selected for presentation at IEEE IROS 2025

Roadside LiDAR · 5 citations

AI-Enhanced Sensing for Vulnerable Road User Safety at Signalized Intersections: A Survey

Bo Shang, Yiqiao Li, Arian Golrokh Amin, Camille Kamga, Jie Wei · Procedia Computer Science, vol. 265, pp. 350–357 (MobiSPC 2025) · 2025

Citation counts: Google Scholar, 2026-10-14.

Browse all 42 research outputs →