Author of the publication

Drone-based Generation of Sensor Reference and Training Data for Highly Automated Vehicles.

, , , , , and . ITSC, page 3067-3074. IEEE, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

BézierVAE: Improved Trajectory Modeling using Variational Autoencoders for the Safety Validation of Highly Automated Vehicles., , , and . ITSC, page 3788-3795. IEEE, (2019)A Seed Based Method for Dictionary Translation., , and . ISMIS, volume 8502 of Lecture Notes in Computer Science, page 415-424. Springer, (2014)The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections., , , , , and . IV, page 1929-1934. IEEE, (2020)The rounD Dataset: A Drone Dataset of Road User Trajectories at Roundabouts in Germany., , , , and . ITSC, page 1-6. IEEE, (2020)DeepAerialMapper: Deep Learning-based Semi-automatic HD Map Creation for Highly Automated Vehicles., and . CoRR, (2024)Decoupled cooperative trajectory optimization for connected highly automated vehicles at urban intersections., , and . Intelligent Vehicles Symposium, page 741-746. IEEE, (2016)Drone-based Generation of Sensor Reference and Training Data for Highly Automated Vehicles., , , , , and . ITSC, page 3067-3074. IEEE, (2021)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., , , , , and . IV, page 708-715. IEEE, (2020)VeGAN: Using GANs for Augmentation in Latent Space to Improve the Semantic Segmentation of Vehicles in Images From an Aerial Perspective., , and . WACV, page 1440-1448. IEEE, (2019)Data-Driven Maneuver Modeling using Generative Adversarial Networks and Variational Autoencoders for Safety Validation of Highly Automated Vehicles., , , and . ITSC, page 2383-2390. IEEE, (2018)