Yacoub, M. ., Antkiewicz, M. ., Czarnecki, K. ., & McPhee, J. . (2024). Gain-scheduled model predictive controller for vehicle-following trajectory generation for autonomous vehicles. Vehicle System Dynamics, 26. https://doi.org/10.1080/00423114.2024.2373140 (Original work published 2024)
Reference author: Krzysztof Czarnecki
First name
Krzysztof
Last name
Czarnecki
Queiroz, R. ., Sharma, D. ., Caldas, R. ., Czarnecki, K. ., Garcia, S. ., Berger, T. ., & Pelliccione, P. . (2024). A driver-vehicle model for ADS scenario-based testing. IEEE Transactions on Intelligent Transportation Systems, 14. https://doi.org/10.1109/TITS.2024.3373531 (Original work published 2024)
Wang, J. ., Pant, Y. V., Zhao, L. ., Antkiewicz, M. ., & Czarnecki, K. . (2024). Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles. IEEE Transactions on Intelligent Transportation Systems, 16. https://doi.org/10.1109/TITS.2024.3384050 (Original work published 2024)
Chauchan, M. ., Pellizzoni, R. ., & Czarnecki, K. . (2017). Modeling the Effects of AUTOSAR Overheads on Application Timing and Schedulability. Modeling the Effects of AUTOSAR Overheads on Application Timing and Schedulability. Presented at the. Retrieved from https://dac.com/2017/accepted-papers (Original work published 2017)
De Iaco, R. ., Smith, S. L., & Czarnecki, K. . (2019). Learning a Lattice Planner Control Set for Autonomous Vehicles. Learning a Lattice Planner Control Set for Autonomous Vehicles. Presented at the. Paris, France. https://doi.org/10.1109/IVS.2019.8813797
Queiroz, R. ., Passos, L. ., Valente, M. T., Hunsen, C. ., Apel, S. ., & Czarnecki, K. . (2017). The shape of feature code: an analysis of twenty C-preprocessor-based systems. Software \& Systems Modeling, 16, 96. https://doi.org/10.1007/s10270-015-0483-z (Original work published 2017)
Vernekar, S. ., Gaurav, A. ., Abdelzad, V. ., Denouden, T. ., Salay, R. ., & Czarnecki, K. . (2019). Out-of-distribution Detection in Classifiers via Generation. Out-of-Distribution Detection in Classifiers via Generation. Presented at the. https://sites.google.com/view/neurips19-safe-robust-workshop. Retrieved from https://drive.google.com/file/d/0B3mY6u_lryzdel9WOW1XTVA0aDIwazJDcG9ORlZrZWFOd0xJ/view (Original work published 2019)
Ross, J. ., Murashkin, A. ., Liang, J. H., Antkiewicz, M. ., & Czarnecki, K. . (2017). Synthesis and Exploration of Multi-Level, Multi-Perspective Architectures of Automotive Embedded Systems. Software and Systems Modeling. https://doi.org/10.1007/s10270-017-0592-y
Khan, S. ., Phan, B. T., Salay, R. ., & Czarnecki, K. . (2019). ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks. ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks. Presented at the. Long Beach, California, USA: IEEE. Retrieved from https://bit.ly/2G3MA1P (Original work published 2019)
Sarkar, A. ., Czarnecki, K. ., Angus, M. ., Li, C. ., & Waslander, S. . (2017). Trajectory prediction of traffic agents at urban intersections through learned interactions.. Trajectory Prediction of Traffic Agents at Urban Intersections through Learned Interactions. Presented at the. Retrieved from https://ieeexplore.ieee.org/document/8317731