Valentina Donzella

Orcid: 0000-0002-3408-6135

According to our database1, Valentina Donzella authored at least 20 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
A Target-based Multi-LiDAR Multi-Camera Extrinsic Calibration System.
CoRR, July, 2025

Robustness Requirement Coverage using a Situation Coverage Approach for Vision-based AI Systems.
CoRR, July, 2025

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining.
CoRR, April, 2025

Raw Camera Data Object Detectors: An Optimisation for Automotive Video Processing and Transmission.
IEEE Access, 2025

Automotive DNN-Based Object Detection in the Presence of Lens Obstruction and Video Compression.
IEEE Access, 2025

2024
Influence of AVC and HEVC Compression on Detection of Vehicles Through Faster R-CNN.
IEEE Trans. Intell. Transp. Syst., January, 2024

Taming Transformers for Realistic Lidar Point Cloud Generation.
CoRR, 2024

Benchmarking the Robustness of Panoptic Segmentation for Automated Driving.
CoRR, 2024

A Novel Score-Based LiDAR Point Cloud Degradation Analysis Method.
IEEE Access, 2024

Exploring Generative AI for Sim2Real in Driving Data Synthesis.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

REHEARSE: adveRse wEatHEr datAset for sensoRy noiSe modEls.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Parametric Physics-Based Snow Model for Automotive Cameras.
Proceedings of the 2024 IEEE SENSORS, Kobe, Japan, October 20-23, 2024, 2024

2023
Accelerating Stereo Image Simulation for Automotive Applications Using Neural Stereo Super Resolution.
IEEE Trans. Intell. Transp. Syst., November, 2023

Semantic-Aware Video Compression for Automotive Cameras.
IEEE Trans. Intell. Veh., June, 2023

Contrastive Learning-Based Framework for Sim-to-Real Mapping of Lidar Point Clouds in Autonomous Driving Systems.
CoRR, 2023

Enhanced Object Detection by Integrating Camera Parameters into Raw Image-Based Faster R-CNN.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

The Effect of Camera Data Degradation Factors on Panoptic Segmentation for Automated Driving.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
A Two-stage H.264 based Video Compression Method for Automotive Cameras.
Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022

2021
The data conundrum: compression of automotive imaging data and deep neural network based perception.
Proceedings of the London Imaging Meeting 2021: Imaging for Deep Learning, 2021

2019
Advances in Silicon Photonic Sensors Using Sub-Wavelength Gratings.
Proceedings of the 2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC), 2019


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