3 papers
cs.CV2025
Evaluating the Impact of Weather-Induced Sensor Occlusion on BEVFusion for 3D Object Detection
Sanjay Kumar, Tim Brophy, Eoin Martino Grua +3
Accurate 3D object detection is essential for automated vehicles to navigate safely in complex real-world environments. Bird's Eye View (BEV) representations, which project multi-s…
cs.CV2025
Minimizing Occlusion Effect on Multi-View Camera Perception in BEV with Multi-Sensor Fusion
Sanjay Kumar, Hiep Truong, Sushil Sharma +4
Autonomous driving technology is rapidly evolving, offering the potential for safer and more efficient transportation. However, the performance of these systems can be significantl…
cs.CV2024
Deformable Convolution Based Road Scene Semantic Segmentation of Fisheye Images in Autonomous Driving
Anam Manzoor, Aryan Singh, Ganesh Sistu +4
This study investigates the effectiveness of modern Deformable Convolutional Neural Networks (DCNNs) for semantic segmentation tasks, particularly in autonomous driving scenarios w…