4 papers
EdgeDAM: Real-time Object Tracking for Mobile Devices
Syed Muhammad Raza, Syed Murtaza Hussain Abidi, Khawar Islam +2
Single-object tracking (SOT) on edge devices is a critical computer vision task, requiring accurate and continuous target localization across video frames under occlusion, distract…
LiDAR-based 3D Change Detection at City Scale
Hezam Albagami, Hezam Albaqami, Haitian Wang +7
High-definition 3D city maps enable city planning and change detection, which is essential for municipal compliance, map maintenance, and asset monitoring, including both built str…
Detecting Unauthorized Vehicles using Deep Learning for Smart Cities: A Case Study on Bangladesh
Sudipto Das Sukanto, Diponker Roy, Fahim Shakil +5
Modes of transportation vary across countries depending on geographical location and cultural context. In South Asian countries rickshaws are among the most common means of local t…
Road Damage and Manhole Detection using Deep Learning for Smart Cities: A Polygonal Annotation Approach
Rasel Hossen, Diptajoy Mistry, Mushiur Rahman +3
Urban safety and infrastructure maintenance are critical components of smart city development. Manual monitoring of road damages is time-consuming, highly costly, and error-prone.…