5 citations · 15 across the 8 of their papers we have counts for
8 papers
Measuring the Effect of Background on Classification and Feature Importance in Deep Learning for AV Perception
Anne Sielemann, Valentin Barner, Stefan Wolf +3
Common approaches to explainable AI (XAI) for deep learning focus on analyzing the importance of input features on the classification task in a given model: saliency methods like S…
Synset Signset Germany: a Synthetic Dataset for German Traffic Sign Recognition
Anne Sielemann, Lena Loercher, Max-Lion Schumacher +3
In this paper, we present a synthesis pipeline and dataset for training / testing data in the task of traffic sign recognition that combines the advantages of data-driven and analy…
Physically-Based Simulation of Automotive LiDAR
L. Dudzik, M. Roschani, A. Sielemann +4
We present an analytic model for simulating automotive time-of-flight (ToF) LiDAR that includes blooming, echo pulse width, and ambient light, along with steps to determine model p…
Realtime Global Optimization of a Fail-Safe Emergency Stop Maneuver for Arbitrary Electrical / Electronical Failures in Automated Driving
F. Duerr, J. Ziehn, R. Kohlhaas +3
In the event of a critical system failures in auto-mated vehicles, fail-operational or fail-safe measures provide minimum guarantees for the vehicle's performance, depending on whi…
Accuracy Evaluation of a Lightweight Analytic Vehicle Dynamics Model for Maneuver Planning
J. R. Ziehn, M. Ruf, M. Roschani +1
Models for vehicle dynamics play an important role in maneuver planning for automated driving. They are used to derive trajectories from given control inputs, or to evaluate a give…
Cooperative Automated Driving for Bottleneck Scenarios in Mixed Traffic
M. V. Baumann, J. Beyerer, H. S. Buck +10
Connected automated vehicles (CAV), which incorporate vehicle-to-vehicle (V2V) communication into their motion planning, are expected to provide a wide range of benefits for indivi…
Continual Learning for Class- and Domain-Incremental Semantic Segmentation
Tobias Kalb, Masoud Roschani, Miriam Ruf +1
The field of continual deep learning is an emerging field and a lot of progress has been made. However, concurrently most of the approaches are only tested on the task of image cla…
Deflectometry for specular surfaces: an overview
Jan Burke, Alexey Pak, Sebastian Höfer +3
Deflectometry as a technical approach to assessing reflective surfaces has now existed for almost 40 years. Different aspects and variations of the method have been studied in mult…