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cs.CV2026
Radar-Camera BEV Multi-Task Learning with Cross-Task Attention Bridge for Joint 3D Detection and Segmentation
Ahmet İnanç, Özgür Erkent
Bird's-eye-view (BEV) representations are the dominant paradigm for 3D perception in autonomous driving, providing a unified spatial canvas where detection and segmentation feature…
cs.CV2026
Frequency-Guided Fusion For RGB-Thermal Semantic Segmentation
İsmail Emre Canıtez, Özgür Erkent
Semantic segmentation in complex environments such as urban driving scenes remains challenging under adverse lighting conditions, where RGB images alone provide insufficient inform…
cs.CV2022
LAPTNet: LiDAR-Aided Perspective Transform Network
Manuel Alejandro Diaz-Zapata, Özgür Erkent, Christian Laugier +2
Semantic grids are a useful representation of the environment around a robot. They can be used in autonomous vehicles to concisely represent the scene around the car, capturing vit…