ROADVIEW publications and conference proceedings
2026
Raisuddin, A. M., Holmblad, J., Haghighi, H., Poledna, Y., Drechsler, M. F., Donzella, V., & Aksoy, E. E. (2026). REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining. Sensors. https://doi.org/10.3390/s26020728
Ngo, T. T., Raisuddin, A. M., Gouigah, I., Litkey, P., Manninen, P., Hyyti, H., Maanpää, J., et al. (2026). Snowy Scenes: A Multimodal Multitask Dataset Toward Snow-tonomous Vehicles. IEEE Robotics and Automation Letters. https://doi.org/10.1109/LRA.2026.3717187
Drechsler, M. F., Sell, C., Poledna, Y., & Huber, W. (2026). Accelerating the Approval of Automated Driving Vehicles through standardized XiL test environments. In 2025 IEEE International Conference on Vehicular Electronics and Safety (ICVES). https://doi.org/10.1109/ICVES65691.2025.11376566
Ulreich, F., Drechsler, M. F., Poledna, Y., Chan, P. H., Herranen, T., & Ebert, M. (2026). Validating Camera Sensor Models for Virtual Testing of Vision Systems in Automated Driving. In 2025 IEEE International Conference on Vehicular Electronics and Safety (ICVES). https://doi.org/10.1109/ICVES65691.2025.11376043
Wang, H., Chan, P. H., & Donzella, V. (2026). Compressing Noisy Bayer Images: Impact on Object Detection in Automotive. In 2025 IEEE International Conference on Vehicular Electronics and Safety (ICVES). https://doi.org/10.1109/ICVES65691.2025.11376319
Wei, Z., Jiang, Y., Chan, P. H., Wang, Y., Poledna, Y., & Donzella, V. (2026). Darwick: A Paired Dataset in Low-Light Driving Scenarios for Advanced Perceptual Enhancement and Benchmarking Assessment. In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC). https://doi.org/10.1109/ITSC58415.2024.11414063
Cancouët, M., Ruellan, H., Bellessort, R., Morvan, I., Nassor, E., Hyyti, H., & Bonnin, J. M. (2026). Mitigating Systematic Errors in Roadside Camera-Based V2X Perception. In 2026 IEEE Intelligent Vehicles Symposium (IV). https://ieeexplore.ieee.org/document/11624113
Toss, H., & Sanfridson, M. (2026). Quantifying Blockage Detection in 4D Automotive Radars. In 2026 20th European Conference on Antennas and Propagation (EuCAP). https://doi.org/10.23919/EuCAP68105.2026.11612756
Marsh, I., & Bui, T. (2026). Ensuring Human Safety and Accountability Through Data Management in Automated Driving. In Proceedings of the 2026 1st International Conference on Human Centric Artificial Intelligence (ICHCAI). https://doi.org/10.1109/ICHCAI70183.2026.11607538
Albashir, N. A., Pernickel, L., Hamoud, D., Gouigah, I., & Aksoy, E. E. (2026). LRC-WeatherNet: LiDAR, RADAR, and Camera Fusion Network for Real-time Weather-type Classification in Autonomous Driving. In IEEE Intelligent Vehicles Symposium (IV). https://doi.org/10.1109/IV66570.2026.11624018
Marsh, I., Stenmark, V., Poledna, Y., Hyyti, H., Sanfridson, M., & Aksoy, E. E. (2026). Data Readiness Levels for Automated Driving. In IEEE Intelligent Vehicles Symposium (IV). https://doi.org/10.1109/IV66570.2026.11623873
Hyyti, H., Mäki-Leppilampi, M., & Kaartinen, H. (2026). Geometric and radiometric Calibration of a rotating multi-beam Lidar using a rotating tilted Platform. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIX-B1-2026. https://doi.org/10.5194/isprs-archives-XLIX-B1-2026-255-2026
Ouattara, H., Duthon, P., Salmane, P. H., Bernardin, F., & Aider, O. A. (2026). Stylistic-Storm: Self-Supervised Spectral Disentanglement Using Adversarial Learning and JEPA for Weather Analysis. In 28th International Conference on Pattern Recognition. https://www.springerprofessional.de/stylistic-storm-st-storm-self-supervised-spectral-disentanglemen/53056152
Chan, P. H., Wei, X., Drechsler, M., Debattista, K., & Donzella, V. (2026). Validated Bayer Adverse Weather Noise Models for Automotive Camera. SSRN. https://dx.doi.org/10.2139/ssrn.7317760
Haghighi, H., Pierpaolo, S., Drechsler, M., Robinson, J., Gummadi, D., & Donzella, V. (2026). Validated LiDAR Weather Models for Testing Automated Vehicles under Harsh Environmental Conditions. SSRN. https://dx.doi.org/10.2139/ssrn.6854501
2025
Wang, H., Gummadi, D., Huggett, A., Debattista, K., & Donzella, V. (2025). A Path Toward Bayer Compression for Automotive Applications. IEEE Open Journal of Vehicular Technology. https://doi.org/10.1109/OJVT.2025.3648261
Wei, Z., Wang, Y., Debattista, K., & Donzella, V. (2025). Rethinking probabilistic learning for counterfactual low-light image enhancement in robust engineering vision systems. Knowledge-Based Systems. https://doi.org/10.1016/j.knosys.2026.11566
Haghighi, H., Wang, Y., Dianati, M., Debattista, K., & Donzella, V. (2025). A Unified Generative Framework for Realistic LiDAR Simulation in Autonomous Driving Systems. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2025.3642208
Li, B., Wang, H., Wang, Y., Chan, P. H., Perks, D., & Donzella, V. (2025). Data-Driven Headlight Flare Model for Automotive Cameras. IEEE Open Journal of Vehicular Technology. https://doi.org/10.1109/OJVT.2025.3601400
Behera, A., Frisk, E., & Kharrazi, S. (2025). Collision avoidance analysis of an articulated heavy vehicle in CARLA. In 29th IAVSD International Symposium on Dynamics of Vehicles on Roads and Tracks. https://indico3.conference4me.psnc.pl/event/79/
Wang, Y., Zhao, H., Gummadi, D., Dianati, M., Debattista, K., & Donzella, V. (2025). Robustness of Panoptic Segmentation for Degraded Automotive Cameras Data. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TASE.2025.3605753
Wang, Y., Li, B., Rahman, A., Gummadi, D., & Zhao, H. (2025). A Survey and New Perspective of Sensing in the Dark for Intelligent Transportation Systems. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2025.3600557
Duthon, P., Liandrat, S., Ben-Daoued, A., Bicard, J. L., Ferreira-Fernandes, M., Bicard, D., & Bernardin, F. (2025). PAVIN Extreme Weather Facility: A Cutting-Edge Testing Environment for Agricultural Robotics. In Agritech Day – 8th Edition, The International Conference of Technologies and Solutions for Efficient and Sustainable Agriculture. https://www.axema.fr/e/agritech-day-2025/content/telechargement-book-2025
Vezeteu, E., Hyyti, H., Kyrki, V., & Hyyppä, J. (2025). Fast Point Ranking – Robust Cloud Voxelization and Denoising for Lidar Odometry and Mapping in Adverse Weather Conditions. In Proceedings of the International Conference on Unmanned Aerial Vehicle in Geomatics (UAV-g). https://doi.org/10.5194/isprs-annals-X-2-W2-2025-199-2025
Toss, H., Karlsson, K., Duthon, P., & Poledna, Y. (2025). Rain Reflectivity Distribution and Detectability in Automotive Radar. In 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC). https://doi.org/10.1109/ITSC60802.2025.11423144
Behera, A., Kharrazi, S., Frisk, E., & Aramrattana, M. (2025). Two-dimensional time-to-collision measures for articulated vehicles: predicting sideswipe and rear-end collisions. arXiv preprint. https://doi.org/10.48550/arXiv.2507.04184
Chan, P. H., Wei, C., Huggett, A., & Donzella, V. (2025). Raw camera data object detectors: an optimisation for automotive video processing and transmission. IEEE Access. https://doi.org/10.1109/ACCESS.2025.3529287
Baris, G., Li, B., Chan, P. H., Avizzano, C. A., & Donzella, V. (2025). Automotive DNN based object detection in the presence of lens obstruction and video compression. IEEE Access. https://doi.org/10.1109/ACCESS.2025.3544773
Chan, P. H., Roudposhti, S. S., Ye, X., & Donzella, V. (2025). A noise analysis of 4d radar: robust sensing for automotive?. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2025.3556518
Donzella, V., Chan, P. H., Gummadi, D., Raisuddin, A. M., & Aksoy, E. E. (2025). LiDAR De-Snow Score (DSS): combining quality and perception metrics for optimised de-noising. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2025.3570478
Alshaikh, M. (2025). An Experimental Study on ObjectTracking. https://www.diva-portal.org/smash/record.jsf?pid=diva2%3A1966144&dswid=-6376
Maanpää, J., Pesonen, J., Melekhov, I., Hyyti, H., & Hyyppä, J. (2025, June). Road Grip Uncertainty Estimation Through Surface State Segmentation. In Scandinavian Conference on Image Analysis (pp. 231-244). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-95911-0_17
Raisuddin, A. M., Gouigah, I., & Aksoy, E. E. (2024). 3d-unoutdet: A fast and efficient unsupervised snow removal algorithm for 3d lidar point clouds. Authorea Preprints. https://doi.org/10.36227/techrxiv.172865969.94242670/v1
Rolich, A., Yildiz, M., Turcanu, I., Vinel, A., & Baiocchi, A. (2025, June). On the Trade-off Between AoI Performance and Resource Reuse Efficiency in 5G NR V2X Sidelink. In 2025 IEEE Vehicular Networking Conference (VNC) (pp. 1-8). IEEE. https://doi.org/10.1109/VNC64509.2025.11054234
2024
Chan, P. H., Debattista, K., & Donzella, V. (2024, October). Parametric physics-based snow model for automotive cameras. In 2024 IEEE SENSORS (pp. 01-04). IEEE. https://doi.org/10.1109/SENSORS60989.2024.10784836
Drechsler, M. F., Poledna, Y., Hjort, M., Kharrazi, S., & Huber, W. (2024, October). Vehicle Dynamics Parameter Estimation Methodology for Virtual Automated Driving Testing. In 2024 IEEE International Automated Vehicle Validation Conference (IAVVC) (pp. 1-7). IEEE. https://doi.org/10.1109/IAVVC63304.2024.10786416
Maanpää, J., Pesonen, J., Hyyti, H., Melekhov, I., Kannala, J., Manninen, P., … & Hyyppä, J. (2024, December). Dense road surface grip map prediction from multimodal image data. In International Conference on Pattern Recognition (pp. 387-404). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-78447-7_26
Herranen, T., Martí, E. H., Chan, P. H., Poledna, Y., Duthon, P., Ben-Daoued, A., … & Donzella, V. (2024, November). Creation of digital models for accelerated and reliable testing of automated systems in adverse weather. In Autonomous Systems for Security and Defence (Vol. 13207, pp. 41-54). SPIE. https://doi.org/10.1117/12.3031473
Cortinhal, T., Gouigah, I., & Aksoy, E. E. (2024, June). Semantics-aware LiDAR-only pseudo point cloud generation for 3D object detection. In 2024 IEEE Intelligent Vehicles Symposium (IV) (pp. 3220-3226). IEEE. https://doi.org/10.1109/IV55156.2024.10588782
Poledna, Y., Drechsler, M. F., Donzella, V., Chan, P. H., Duthon, P., & Huber, W. (2024, June). REHEARSE: adverse weather dataset for sensory noise models. In 2024 IEEE Intelligent Vehicles Symposium (IV) (pp. 2451-2457). IEEE. https://doi.org/10.1109/IV55156.2024.10588491
Raisuddin, A. M., Cortinhal, T., Holmblad, J., & Aksoy, E. E. (2024, June). 3d-outdet: A fast and memory efficient outlier detector for 3d lidar point clouds in adverse weather. In 2024 IEEE Intelligent Vehicles Symposium (IV) (pp. 2862-2868). IEEE. https://doi.org/10.1109/IV55156.2024.10588582
Wang, Y., Zhao, H., Debattista, K., & Donzella, V. (2023, September). The effect of camera data degradation factors on panoptic segmentation for automated driving. In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) (pp. 2351-2356). IEEE. https://doi.org/10.1109/ITSC57777.2023.10421803
Silva, L. C. D., Drechsler, M. F., Poledna, Y., Huber, W., & Fiorentin, T. A. (2023, November). Synthetic extreme weather for ai training: Concept and validation. In 2023 Third International Conference on Digital Data Processing (DDP) (pp. 188-194). IEEE. https://doi.org/10.1109/DDP60485.2023.00044
Chan, P. H., Li, B., Baris, G., Sadiq, Q., & Donzella, V. (2024). The inconvenient truth of ground truth errors in automotive datasets and DNN-based detection. Data-Centric Engineering, 5, e34. https://doi.org/10.1017/dce.2024.39
Warg, F., Donzella, V., Chan, P. H., Robinson, J., Poledna, Y., Liandrat, S., … & Aksoy, E. E. (2024). From operational design domain to test cases: A methodology to include harsh weather. Open Research Europe, 4(238), 238. https://doi.org/10.12688/openreseurope.18592.1
Shahbeigi, S., Robinson, J., & Donzella, V. (2024). A novel score-based lidar point cloud degradation analysis method. IEEE Access, 12, 22671-22686. https://doi.org/10.1109/ACCESS.2024.3359300
Cortinhal, T. (2024). Semantics-aware Multi-modal Scene Perception for Autonomous Vehicles (Doctoral dissertation, Halmstad University Press). https://www.diva-portal.org/smash/record.jsf?pid=diva2%3A1849702&dswid=5514
2023
Cortinhal, T., & Aksoy, E. E. (2023). Depth- and semantics-aware multi-modal domain translation: Generating 3D panoramic color images from LiDAR point clouds. Robotics and Autonomous Systems. https://doi.org/10.1016/j.robot.2023.104583
Baris, G., Li, B., Chan, P. H., Avizzano, C. A., & Donzella, V. (2023). Analysis of Faster R-CNN network prediction in the presence of lens occlusion and video compression. Authorea Preprints. https://www.techrxiv.org/doi/full/10.36227/techrxiv.23047412.v1
Gummadi, D., Chan, P. H., Wang, H., & Donzella, V. (2023). Correlating traditional image quality metrics and DNN-based object detection: A case study with compressed camera data. Authorea Preprints. https://www.techrxiv.org/doi/full/10.36227/techrxiv.24566371
Ben-Daoued, A., Bernardin, F., & Duthon, P. (2024). A Comparative Review of the SWEET Simulator: Theoretical Verification Against Other Simulators. Journal of Imaging, 10(12), 306. https://doi.org/10.3390/jimaging10120306
Ben-Daoued, A., Duthon, P., & Bernardin, F. (2023). Sweet: A realistic multiwavelength 3d simulator for automotive perceptive sensors in foggy conditions. Journal of Imaging, 9(2), 54. https://doi.org/10.3390/jimaging9020054
Daoued, A. B., Bernardin, F., & Duthon, P. (2023, January). Simulation numérique de capteurs perceptifs du véhicule autonome sous conditions météorologiques dégradées. In ATEC France. https://hal.science/hal-03972734/
ROADVIEW datasets
Poledna, Y., Dreschler, M., Cristófoli Duarte, L., Duthon, P., Bernardin, F., Donzella, V., Chan, P. H. (2024). REHEARSE: adveRse wEatHEr datAset for sensoRy noiSe modEls. RISE. https://s3.ice.ri.se/roadview-WP3-Warwick/T3.2%20-%20Create%20Dataset/rehearse/index.html
Poledna, Y., Dreschler, M., Hjort, M., Kharrazi, S. (2024). Vehicle Dynamics. GitHub. https://github.com/roadview-project/vehicle-dynamics
Poledna, Y., (2024). Dataset Creator OSI. GitHub. https://github.com/roadview-project/dataset_creator_OSI