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Robust Reduced-Complexity Receivers for Multi-User Mobile Communication Systems

, , and . TUM-LNS-TR-05-04. (April 2005)

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Complexity reduction using the Random Forest classifier in a collision detection algorithm., and . Intelligent Vehicles Symposium, page 1228-1235. IEEE, (2010)Probability estimation for Predicted-Occupancy Grids in vehicle safety applications based on machine learning., and . Intelligent Vehicles Symposium, page 1285-1292. IEEE, (2016)Feature Selection for Change Detection in Multivariate Time-Series., and . CIDM, page 590-597. IEEE, (2007)Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance., , , , , , , and . IV, page 2164-2171. IEEE, (2019)Construction of interpretable Radial Basis Function classifiers based on the Random Forest kernel., and . IJCNN, page 220-227. IEEE, (2008)Interpretable Machine Learning Structure for an Early Prediction of Lane Changes., , , , and . ICANN (1), volume 12396 of Lecture Notes in Computer Science, page 337-349. Springer, (2020)High Precision Outdoor and Indoor Reference State Estimation for Testing Autonomous Vehicles., , , , and . Sensors, 21 (4): 1131 (2021)High Precision Indoor Navigation for Autonomous Vehicles., , , and . CoRR, (2020)Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications., , , , and . IV, page 1-8. IEEE, (2023)Towards Feature Validation in Time to Lane Change Classification using Deep Neural Networks., , , , , and . ITSC, page 1-8. IEEE, (2020)