activity
20212023
most citedA Spatio-Temporal Multilayer Perceptron for Gesture Recognition

14 citations · 16 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV2023

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…

cs.RO2023

Automated Automotive Radar Calibration With Intelligent Vehicles

Alexander Tsaregorodtsev, Michael Buchholz, Vasileios Belagiannis

While automotive radar sensors are widely adopted and have been used for automatic cruise control and collision avoidance tasks, their application outside of vehicles is still limi…

cs.CV2023

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…

cs.CV2022

Extrinsic Camera Calibration with Semantic Segmentation

Alexander Tsaregorodtsev, Johannes Müller, Jan Strohbeck +3

Monocular camera sensors are vital to intelligent vehicle operation and automated driving assistance and are also heavily employed in traffic control infrastructure. Calibrating th…

cs.CV2022★ 14 cited

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…

cs.LG2021★ 2 cited

ParticleAugment: Sampling-Based Data Augmentation

Alexander Tsaregorodtsev, Vasileios Belagiannis

We present an automated data augmentation approach for image classification. We formulate the problem as Monte Carlo sampling where our goal is to approximate the optimal augmentat…