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Self-Supervised Pretraining for Object Detection in Autonomous Driving
The detection of road agents, such as vehicles and pedestrians are central in autonomous driving. Self-Supervised Learning (SSL) has …
Aytac Kanacı, Izzeddin Teeti, Andrew Bradley, Fabio Cuzzolin
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Self-Supervised Pretraining for Object Detection in Autonomous Driving
Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing
In an autonomous driving system, perception - identification of features and objects from the environment - is crucial. In autonomous …
Izzeddin Teeti, Valentina Musat, Salman Khan, Alexander Rast, Fabio Cuzzolin, Andrew Bradley
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Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing
Vision-based Intention and Trajectory Prediction in Autonomous Vehicles: A Survey
This survey targets intention and trajectory prediction in Autonomous Vehicles (AV), as AV companies compete to create dedicated …
Izzeddin Teeti, Salman Khan, Ajmal Shahbaz, Andrew Bradley, Fabio Cuzzolin
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Vision-based Intention and Trajectory Prediction in Autonomous Vehicles: A Survey
YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles
As autonomous vehicles and autonomous racing rise in popularity, so does the need for faster and more accurate detectors. While our …
Aduen Benjumea, Izzeddin Teeti, Fabio Cuzzolin, Andrew Bradley
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YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles