10 citations · 13 across the 10 of their papers we have counts for
3 papers · 1 filter
Query2Uncertainty: Robust Uncertainty Quantification and Calibration for 3D Object Detection under Distribution Shift
Till Beemelmanns, Alexey Nekrasov, Stefan Vilceanu +4
Reliable uncertainty estimation for 3D object detection is critical for deploying safe autonomous systems, yet modern detectors remain poorly calibrated, especially under distribut…
3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods
Till Beemelmanns, Yuchen Tao, Bastian Lampe +4
Storing and transmitting LiDAR point cloud data is essential for many AV applications, such as training data collection, remote control, cloud services or SLAM. However, due to the…
Enhancing Lidar-based Object Detection in Adverse Weather using Offset Sequences in Time
Raphael van Kempen, Tim Rehbronn, Abin Jose +4
Automated vehicles require an accurate perception of their surroundings for safe and efficient driving. Lidar-based object detection is a widely used method for environment percept…