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Time to Shine: Fine-Tuning Object Detection Models with Synthetic Adverse Weather Images.

, , and . WACV, page 4435-4444. IEEE, (2024)

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Aufbau einer Mixed-Reality-Versuchsumgebung zur Absicherung autonomer Systeme., , and . Echtzeit, page 43-52. Springer Vieweg, (2019)Virtual safety performance assessment for automated driving in complex urban traffic scenarios., , , and . ITSC, page 679-685. IEEE, (2019)Mixed Reality Environment for Complex Scenario Testing., , , , , and . MuC, page 605-608. ACM, (2021)Mixed Reality Environment for Testing Automated Vehicle and Pedestrian Interaction., , , , and . AutomotiveUI (adjunct), page 229-232. ACM, (2021)Let it Snow: On the Synthesis of Adverse Weather Image Data., and . ITSC, page 3300-3306. IEEE, (2021)A novel Conditional Generative Adversarial Networks for Automotive Radar Range-Doppler Targets Synthetic Generation., , , , and . ITSC, page 3964-3969. IEEE, (2023)Model Based Generation of Driving Scenarios., , , and . INTSYS, volume 222 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 153-163. Springer, (2017)Data Collection and Safety Use Cases in Smart Infrastructures., , , , , , , , , and . AutomotiveUI (Adjunct Proceedings), page 333-336. ACM, (2023)Review of exteroceptive sensors for autonomous driving., , , and . ITSC, page 4005-4010. IEEE, (2022)Test Methodology for Vision-Based ADAS Algorithms with an Automotive Camera-in-the-Loop., , and . ICVES, page 1-7. IEEE, (2018)