On October 2nd, researcher Zhouyan Qiu, Assistant Professor at the School of Robotics, Xi’an Jiaotong-Liverpool University in China, will deliver the seminar:

Advancements in AI and Sensor Technologies for Infrastructure Monitoring and Optimization in Urban and Indoor Environments

Date: October 2
Time: 12:00 PM to 1:00 PM
Location: CINTECX Auditorium

Overview:

• Compression of 3D Urban DataUse of compressive sensing techniques to compress 3D point clouds in urban environments, enabling applications such as city planning, disaster response, and structural assessment—even in bandwidth-constrained systems.
• AI-Based Super-Resolution for Visual InspectionsApplication of deep neural networks to enhance the resolution of RGB and depth images in indoor settings, improving the accuracy of defect detection and infrastructure analysis.
• Fusion of Thermal Imaging and 3D DataIntegration of thermal images with point clouds to assess wall temperature uniformity, identifying energy inefficiencies and guiding improvements in insulation and sustainability.
• Autonomous Robotic System for Structural MonitoringDevelopment of a robot combining SLAM, AI-based detection, and large language models to monitor cracks in real time, automating preventive maintenance and extending structural lifespan.
• Overall ImpactThese technologies demonstrate how AI and sensor integration can tackle key infrastructure challenges: data overload, computational demands, proactive maintenance, and energy efficiency.

Registration open until capacity is reached via the following form: https://forms.cloud.microsoft/e/1mHBmp5mNm