Valentina Donzella

37 papers C 3Journal 21Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AURORA-KITTI: Any-Weather Depth Completion and Denoising in the Wild. CoRR Yiting Wang, Tim Brödermann, Hamed Haghighi, Haonan Zhao, Christos Sakaridis, Kurt Debattista, Valentina Donzella
2026	J	`jnl`	Rethinking probabilistic learning for counterfactual low-light image enhancement in robust engineering vision systems. Knowl. Based Syst. Zixiang Wei, Yiting Wang, Kurt Debattista, Valentina Donzella
2025	—	`conf`	A Case Study: Evaluating the Impact of LiDAR Integration within the Vehicle Front End. ICVES Sivaprasad Mohankumar, David Sanchez, Milan Lovric, Valentina Donzella
2025	J	`jnl`	A Survey and New Perspective of Sensing in the Dark for Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. Yiting Wang, Boda Li, Zixiang Wei, Anima Rahman, Daniel Gummadi, Haonan Zhao, Valentina Donzella
2025	J	`jnl`	A Target-based Multi-LiDAR Multi-Camera Extrinsic Calibration System. CoRR Lorenzo Gentilini, Pierpaolo Serio, Valentina Donzella, Lorenzo Pollini
2025	—	`conf`	Advancing Blink Detection in Driver Monitoring with Improved Eye Landmark Analysis. ITSC Anima Rahman, Roger Woodman, Valentina Donzella
2025	—	`conf`	An Observability-based Targetless system for LiDAR-to-LiDAR Extrinsic Calibration. ICVES Pierpaolo Serio, Lorenzo Gentilini, Valentina Donzella, Lorenzo Pollini
2025	J	`jnl`	Automotive DNN-Based Object Detection in the Presence of Lens Obstruction and Video Compression. IEEE Access Gabriele Baris, Boda Li, Pak Hung Chan, Carlo Alberto Avizzano, Valentina Donzella
2025	—	`conf`	Compressing Noisy Bayer Images: Impact on Object Detection in Automotive. ICVES Hetian Wang, Pak Hung Chan, Valentina Donzella
2025	—	`conf`	Evaluating the Impact of Weather-Induced Sensor Occlusion on BEVFusion for 3D Object Detection. ICVES Sanjay Kumar, Tim Brophy, Eoin Martino Grua, Ganesh Sistu, Valentina Donzella, Ciarán Eising
2025	J	`jnl`	Evaluating the Impact of Weather-Induced Sensor Occlusion on BEVFusion for 3D Object Detection. CoRR Sanjay Kumar, Tim Brophy, Eoin Martino Grua, Ganesh Sistu, Valentina Donzella, Ciaran Eising
2025	J	`jnl`	Occluded nuScenes: A Multi-Sensor Dataset for Evaluating Perception Robustness in Automated Driving. CoRR Sanjay Kumar, Tim Brophy, Reenu Mohandas, Eoin Martino Grua, Ganesh Sistu, Valentina Donzella, Ciaran Eising
2025	J	`jnl`	Polar Perspectives: Evaluating 2-D LiDAR Projections for Robust Place Recognition with Visual Foundation Models. CoRR Pierpaolo Serio, Giulio Pisaneschi, Andrea Dan Ryals, Vincenzo Infantino, Lorenzo Gentilini, Valentina Donzella, Lorenzo Pollini
2025	J	`jnl`	REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining. CoRR Abu Mohammed Raisuddin, Jesper Holmblad, Hamed Haghighi, Yuri Poledna, Maikol Funk Drechsler, Valentina Donzella, Eren Erdal Aksoy
2025	J	`jnl`	Raw Camera Data Object Detectors: An Optimisation for Automotive Video Processing and Transmission. IEEE Access Pak Hung Chan, Chuheng Wei, Anthony Huggett, Valentina Donzella
2025	—	`conf`	Robustness Requirement Coverage using a Situation Coverage Approach for Vision-based AI Systems. REW Sepeedeh Shahbeigi, Nawshin Mannan Proma, Victoria J. Hodge, Richard Hawkins, Boda Li, Valentina Donzella
2025	J	`jnl`	Robustness Requirement Coverage using a Situation Coverage Approach for Vision-based AI Systems. CoRR Sepeedeh Shahbeigi, Nawshin Mannan Proma, Victoria J. Hodge, Richard Hawkins, Boda Li, Valentina Donzella
2025	J	`jnl`	Robustness of Panoptic Segmentation for Degraded Automotive Cameras Data. IEEE Trans Autom. Sci. Eng. Yiting Wang, Haonan Zhao, Daniel Gummadi, Mehrdad Dianati, Kurt Debattista, Valentina Donzella
2025	J	`jnl`	Universal Framework to Evaluate Automotive Perception Sensor Impact on Perception Functions. CoRR A. Gamage, Valentina Donzella
2024	J	`jnl`	A Novel Score-Based LiDAR Point Cloud Degradation Analysis Method. IEEE Access Sepeedeh Shahbeigi, Jonathan Robinson, Valentina Donzella
2024	J	`jnl`	Benchmarking the Robustness of Panoptic Segmentation for Automated Driving. CoRR Yiting Wang, Haonan Zhao, Daniel Gummadi, Mehrdad Dianati, Kurt Debattista, Valentina Donzella
2024	—	`conf`	Darwick: A Paired Dataset in Low-Light Driving Scenarios for Advanced Perceptual Enhancement and Benchmarking Assessment. ITSC Zixiang Wei, Yunruo Jiang, Pak Hung Chan, Yiting Wang, Yuri Poledna, Valentina Donzella
2024	C	`conf`	Exploring Generative AI for Sim2Real in Driving Data Synthesis. IV Haonan Zhao, Yiting Wang, Thomas Bashford-Rogers, Valentina Donzella, Kurt Debattista
2024	J	`jnl`	Exploring Generative AI for Sim2Real in Driving Data Synthesis. CoRR Haonan Zhao, Yiting Wang, Thomas Bashford-Rogers, Valentina Donzella, Kurt Debattista
2024	J	`jnl`	Influence of AVC and HEVC Compression on Detection of Vehicles Through Faster R-CNN. IEEE Trans. Intell. Transp. Syst. Pak Hung Chan, Anthony Huggett, Georgina Souvalioti, Paul Jennings, Valentina Donzella
2024	C	`conf`	Influence of AVC and HEVC compression on detection of vehicles through Faster R-CNN. IV Pak Hung Chan, Anthony Huggett, Georgina Souvalioti, Paul Jennings, Valentina Donzella
2024	—	`conf`	Parametric Physics-Based Snow Model for Automotive Cameras. IEEE SENSORS Pak Hung Chan, Kurt Debattista, Valentina Donzella
2024	C	`conf`	REHEARSE: adveRse wEatHEr datAset for sensoRy noiSe modEls. IV Yuri Poledna, Maikol Funk Drechsler, Valentina Donzella, Pak Hung Chan, Pierre Duthon, Werner Huber
2024	J	`jnl`	Taming Transformers for Realistic Lidar Point Cloud Generation. CoRR Hamed Haghighi, Amir Samadi, Mehrdad Dianati, Valentina Donzella, Kurt Debattista
2023	J	`jnl`	Accelerating Stereo Image Simulation for Automotive Applications Using Neural Stereo Super Resolution. IEEE Trans. Intell. Transp. Syst. Hamed Haghighi, Mehrdad Dianati, Valentina Donzella, Kurt Debattista
2023	J	`jnl`	Contrastive Learning-Based Framework for Sim-to-Real Mapping of Lidar Point Clouds in Autonomous Driving Systems. CoRR Hamed Haghighi, Mehrdad Dianati, Kurt Debattista, Valentina Donzella
2023	—	`conf`	Enhanced Object Detection by Integrating Camera Parameters into Raw Image-Based Faster R-CNN. ITSC Chuheng Wei, Guoyuan Wu, Matthew J. Barth, Pak Hung Chan, Valentina Donzella, Anthony Huggett
2023	J	`jnl`	Semantic-Aware Video Compression for Automotive Cameras. IEEE Trans. Intell. Veh. Yiting Wang, Pak Hung Chan, Valentina Donzella
2023	—	`conf`	The Effect of Camera Data Degradation Factors on Panoptic Segmentation for Automated Driving. ITSC Yiting Wang, Haonan Zhao, Kurt Debattista, Valentina Donzella
2022	—	`conf`	A Two-stage H.264 based Video Compression Method for Automotive Cameras. ICPS Yiting Wang, Pak Hung Chan, Valentina Donzella
2021	—	`conf`	The data conundrum: compression of automotive imaging data and deep neural network based perception. LIM Pak Hung Chan, Georgina Souvalioti, Anthony Huggett, Graham Kirsch, Valentina Donzella
2019	—	`conf`	Advances in Silicon Photonic Sensors Using Sub-Wavelength Gratings. OECC/PSC Enxiao Luan, Valentina Donzella, Karen C. Cheung, Lukas Chrostowski