5 citations · 5 across the 4 of their papers we have counts for
4 papers · 1 filter
Closing the Navigation Compliance Gap in End-to-end Autonomous Driving
Hanfeng Wu, Marlon Steiner, Michael Schmidt +2
Trajectory-scoring planners achieve high navigation compliance when following the expert's original command, yet they struggle at intersections when presented with alternative comm…
3D Adversarial Augmentations for Robust Out-of-Domain Predictions
Alexander Lehner, Stefano Gasperini, Alvaro Marcos-Ramiro +4
Since real-world training datasets cannot properly sample the long tail of the underlying data distribution, corner cases and rare out-of-domain samples can severely hinder the per…
Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning
Aral Hekimoglu, Michael Schmidt, Alvaro Marcos-Ramiro
We propose a novel semi-supervised active learning (SSAL) framework for monocular 3D object detection with LiDAR guidance (MonoLiG), which leverages all modalities of collected dat…
Active Learning for Object Detection with Non-Redundant Informative Sampling
Aral Hekimoglu, Adrian Brucker, Alper Kagan Kayali +2
Curating an informative and representative dataset is essential for enhancing the performance of 2D object detectors. We present a novel active learning sampling strategy that addr…