14 citations · 38 across the 12 of their papers we have counts for
3 papers · 1 filter
Fake it, Mix it, Segment it: Bridging the Domain Gap Between Lidar Sensors
Frederik Hasecke, Pascal Colling, Anton Kummert
Segmentation of lidar data is a task that provides rich, point-wise information about the environment of robots or autonomous vehicles. Currently best performing neural networks fo…
What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation
Frederik Hasecke, Martin Alsfasser, Anton Kummert
To train a well performing neural network for semantic segmentation, it is crucial to have a large dataset with available ground truth for the network to generalize on unseen data.…
Context-Aware Scene Prediction Network (CASPNet)
Maximilian Schäfer, Kun Zhao, Markus Bühren +1
Predicting the future motion of surrounding road users is a crucial and challenging task for autonomous driving (AD) and various advanced driver-assistance systems (ADAS). Planning…