Vehicle Detection Performance in Nordic Region

no code implementations • 22 Mar 2024 • Hamam Mokayed, Rajkumar Saini, Oluwatosin Adewumi, Lama Alkhaled, Bjorn Backe, Palaiahnakote Shivakumara, Olle Hagner, Yan Chai Hum

This paper addresses the critical challenge of vehicle detection in the harsh winter conditions in the Nordic regions, characterized by heavy snowfall, reduced visibility, and low lighting.

Data Augmentation Transfer Learning

Robust and Fast Vehicle Detection using Augmented Confidence Map

no code implementations • 27 Apr 2023 • Hamam Mokayed, Palaiahnakote Shivakumara, Lama Alkhaled, Rajkumar Saini, Muhammad Zeshan Afzal, Yan Chai Hum, Marcus Liwicki

Vehicle detection in real-time scenarios is challenging because of the time constraints and the presence of multiple types of vehicles with different speeds, shapes, structures, etc.

Fast Vehicle Detection