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Programmable Systems for Intelligence in Automobiles (PRYSTINE): Technical Progress after Year 2., , , , , , , , , and 21 other author(s). DSD, page 360-369. IEEE, (2020)Development and Experimental Validation of an Intelligent Camera Model for Automated Driving., , , and . Sensors, 21 (22): 7583 (2021)Motorway Measurement Campaign to Support R&D Activities in the Field of Automated Driving Technologies., , , , , , , , , and 16 other author(s). Sensors, 21 (6): 2169 (2021)Transnational Testing, Operation and Certification of Automated Driving Systems: Perspective from testEPS and Central System EUREKA Projects., , , , , , , , , and 6 other author(s). ICCVE, page 1-6. IEEE, (2022)Safety and Security Aspects of Fail-Operational Urban Surround perceptION (FUSION)., , , and . IMBSA, volume 11842 of Lecture Notes in Computer Science, page 286-300. Springer, (2019)ViF-GTAD: A new automotive dataset with ground truth for ADAS/AD development, testing, and validation., , , and . Int. J. Robotics Res., 42 (8): 614-630 (July 2023)PRYSTINE - Technical Progress After Year 1., , , , , , , , , and 13 other author(s). DSD, page 389-398. IEEE, (2019)Programmable Systems for Intelligence in Automobiles (PRYSTINE): Final results after Year 3., , , , , , , , , and 57 other author(s). DSD, page 268-277. IEEE, (2021)