53 citations · 192 across the 31 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.CV2022★ 12 cited
Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios
Jonas Wurst, Lakshman Balasubramanian, Michael Botsch +1
Clustering traffic scenarios and detecting novel scenario types are required for scenario-based testing of autonomous vehicles. These tasks benefit from either good similarity meas…
cs.CV2022
ExAgt: Expert-guided Augmentation for Representation Learning of Traffic Scenarios
Lakshman Balasubramanian, Jonas Wurst, Robin Egolf +3
Representation learning in recent years has been addressed with self-supervised learning methods. The input data is augmented into two distorted views and an encoder learns the rep…