Bo Shang

I am a Research Scientist at the AI & Mobility Research Lab in the City College of New York (CCNY). My research focuses on AI-powered traffic monitoring, LiDAR-vision fusion for object detection, and data-driven transportation system analysis. I am particularly interested in developing multimodal sensing and deep learning frameworks for intelligent mobility and infrastructure safety. I have participated in various AI and robotics projects related to automated crack detection, bridge condition assessment, and LiDAR-based traffic data collection in collaboration with New York City agencies. Full CV

Research Focus

My recent work explores 3D object detection and reasoning networks for complex urban scenes and data-driven approaches to support sustainable and intelligent transportation infrastructure.

Key areas include:

• AI-powered traffic monitoring
• LiDAR-vision fusion for object detection
• Multimodal sensing and deep learning frameworks
• Autonomous robotic decision-making
• Drone-based crack detection and measurement
• Bridge Inspection Robot Deployment Systems (BIRDS)
• UAS for infrastructure inspection
• Sensing for vulnerable road user monitoring
• Data analytics for structural health monitoring

Selected Publications

1. Bo Shang et al. Sensing Perspectives on Vulnerable Road User Monitoring for Traffic Safety: A Survey. MobiSPC 2025 (accepted).
2. Bo Shang et al. How Many Beams of LiDAR is Enough for Detecting Vulnerable Road Users? MobiSPC 2025 (accepted).
3. Jinglun Feng, Bo Shang et al. Robotic Inspection and Data Analytics to Localize and Visualize the Structural Defects of Concrete Infrastructure. IEEE Transactions on Automation Science and Engineering (T-ASE), 2025. Selected for presentation at IEEE IROS 2025.

See my CV for a complete list.