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Using Drones as Reference Sensors for Neural-Networks-Based Modeling of Automotive Perception Errors**The research leading to these results is funded by the Federal Ministry for Economic Affairs and Energy within the project "VVM - Verification and Validation Methods for Automated Vehicles Level 4 and 5". The authors would like to thank the consortium for the successful cooperation.

, , , , , и . IV, стр. 708-715. IEEE, (2020)

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Matthias Krajewski

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BézierVAE: Improved Trajectory Modeling using Variational Autoencoders for the Safety Validation of Highly Automated Vehicles., , , и . ITSC, стр. 3788-3795. IEEE, (2019)A Seed Based Method for Dictionary Translation., , и . ISMIS, том 8502 из Lecture Notes in Computer Science, стр. 415-424. Springer, (2014)The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections., , , , , и . IV, стр. 1929-1934. IEEE, (2020)The rounD Dataset: A Drone Dataset of Road User Trajectories at Roundabouts in Germany., , , , и . ITSC, стр. 1-6. IEEE, (2020)DeepAerialMapper: Deep Learning-based Semi-automatic HD Map Creation for Highly Automated Vehicles., и . CoRR, (2024)Decoupled cooperative trajectory optimization for connected highly automated vehicles at urban intersections., , и . Intelligent Vehicles Symposium, стр. 741-746. IEEE, (2016)VeGAN: Using GANs for Augmentation in Latent Space to Improve the Semantic Segmentation of Vehicles in Images From an Aerial Perspective., , и . WACV, стр. 1440-1448. IEEE, (2019)Using Drones as Reference Sensors for Neural-Networks-Based Modeling of Automotive Perception Errors**The research leading to these results is funded by the Federal Ministry for Economic Affairs and Energy within the project "VVM - Verification and Validation Methods for Automated Vehicles Level 4 and 5". The authors would like to thank the consortium for the successful cooperation., , , , , и . IV, стр. 708-715. IEEE, (2020)Drone-based Generation of Sensor Reference and Training Data for Highly Automated Vehicles., , , , , и . ITSC, стр. 3067-3074. IEEE, (2021)Data-Driven Maneuver Modeling using Generative Adversarial Networks and Variational Autoencoders for Safety Validation of Highly Automated Vehicles., , , и . ITSC, стр. 2383-2390. IEEE, (2018)