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Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance.

, , , , , , , и . IV, стр. 2164-2171. IEEE, (2019)

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Michael-Felix Botsch

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Franz Bötsch

Ernst Bötsch

 

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Variational Autoencoder-Based Vehicle Trajectory Prediction with an Interpretable Latent Space., , , и . ITSC, стр. 820-827. IEEE, (2021)Towards Feature Validation in Time to Lane Change Classification using Deep Neural Networks., , , , , и . ITSC, стр. 1-8. IEEE, (2020)SceneDiffusion: Conditioned Latent Diffusion Models for Traffic Scene Prediction., , , , , и . ITSC, стр. 3914-3921. IEEE, (2023)Interaction-aware Prediction of Occupancy Regions based on a POMDP Framework., , , и . ITSC, стр. 980-987. IEEE, (2022)Interpretable Machine Learning Structure for an Early Prediction of Lane Changes., , , , и . ICANN (1), том 12396 из Lecture Notes in Computer Science, стр. 337-349. Springer, (2020)High Precision Outdoor and Indoor Reference State Estimation for Testing Autonomous Vehicles., , , , и . Sensors, 21 (4): 1131 (2021)Feature Selection for Change Detection in Multivariate Time-Series., и . CIDM, стр. 590-597. IEEE, (2007)Complexity reduction using the Random Forest classifier in a collision detection algorithm., и . Intelligent Vehicles Symposium, стр. 1228-1235. IEEE, (2010)Probability estimation for Predicted-Occupancy Grids in vehicle safety applications based on machine learning., и . Intelligent Vehicles Symposium, стр. 1285-1292. IEEE, (2016)Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance., , , , , , , и . IV, стр. 2164-2171. IEEE, (2019)