14 citations · 20 across the 6 of their papers we have counts for
7 papers
Pedestrian Environment Model for Automated Driving
Adrian Holzbock, Alexander Tsaregorodtsev, Vasileios Belagiannis
Besides interacting correctly with other vehicles, automated vehicles should also be able to react in a safe manner to vulnerable road users like pedestrians or cyclists. For a saf…
Out-of-Distribution Detection for Monocular Depth Estimation
Julia Hornauer, Adrian Holzbock, Vasileios Belagiannis
In monocular depth estimation, uncertainty estimation approaches mainly target the data uncertainty introduced by image noise. In contrast to prior work, we address the uncertainty…
Data-Free Backbone Fine-Tuning for Pruned Neural Networks
Adrian Holzbock, Achyut Hegde, Klaus Dietmayer +1
Model compression techniques reduce the computational load and memory consumption of deep neural networks. After the compression operation, e.g. parameter pruning, the model is nor…
Automated Static Camera Calibration with Intelligent Vehicles
Alexander Tsaregorodtsev, Adrian Holzbock, Jan Strohbeck +2
Connected and cooperative driving requires precise calibration of the roadside infrastructure for having a reliable perception system. To solve this requirement in an automated man…
Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles
Adrian Holzbock, Nicolai Kern, Christian Waldschmidt +2
We present a joint camera and radar approach to enable autonomous vehicles to understand and react to human gestures in everyday traffic. Initially, we process the radar data with…
MotionMixer: MLP-based 3D Human Body Pose Forecasting
Arij Bouazizi, Adrian Holzbock, Ulrich Kressel +2
In this work, we present MotionMixer, an efficient 3D human body pose forecasting model based solely on multi-layer perceptrons (MLPs). MotionMixer learns the spatial-temporal 3D b…
A Spatio-Temporal Multilayer Perceptron for Gesture Recognition
Adrian Holzbock, Alexander Tsaregorodtsev, Youssef Dawoud +2
Gesture recognition is essential for the interaction of autonomous vehicles with humans. While the current approaches focus on combining several modalities like image features, key…