5 papers
Radar-Camera BEV Multi-Task Learning with Cross-Task Attention Bridge for Joint 3D Detection and Segmentation
Ahmet Ä°nanç, Ãzgür 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…
Frequency-Guided Fusion For RGB-Thermal Semantic Segmentation
Ä°smail Emre Canıtez, Ãzgür Erkent
Semantic segmentation in complex environments such as urban driving scenes remains challenging under adverse lighting conditions, where RGB images alone provide insufficient inform…
Sum of Costs Diffusion with Dynamic Guidance for Motion Planning
Aysu Aylin Kaplan, Ãzgür Erkent
The motion planning problem for robotic manipulation can be addressed through classical or deep learning approaches. Existing methods face significant challenges in generalizing to…
Health-Conditioned Vision-Language-Action Models for Malfunction-Aware Robot Control
Hüseyin Arslan, Ãzgür Erkent
Research on Vision Language Action (VLA) models has been increasing rapidly in recent years. Although some of them focus on detecting, preventing, and recovering from task failures…
Multi-Task Learning for Robot Perception with Imbalanced Data
Ozgur Erkent
Multi-task problem solving has been shown to improve the accuracy of the individual tasks, which is an important feature for robots, as they have a limited resource. However, when…