output
20122026
most citedA Survey on the Explainability of Supervised Machine Learning

984 citations

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11 papers · 1 filter

cs.RO2025

From Real-World Traffic Data to Relevant Critical Scenarios

Florian Lüttner, Nicole Neis, Daniel Stadler +5

The reliable operation of autonomous vehicles, automated driving functions, and advanced driver assistance systems across a wide range of relevant scenarios is critical for their d…

cs.RO2025★ 2 cited

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…

cs.RO2024★ 4 cited

Excavating in the Wild: The GOOSE-Ex Dataset for Semantic Segmentation

Raphael Hagmanns, Peter Mortimer, Miguel Granero +2

The successful deployment of deep learning-based techniques for autonomous systems is highly dependent on the data availability for the respective system in its deployment environm…

cs.RO2024★ 10 cited

A Two-Level Stochastic Model for the Lateral Movement of Vehicles Within Their Lane Under Homogeneous Traffic Conditions

Nicole Neis, Juergen Beyerer

The lateral position of vehicles within their lane is a decisive factor for the range of vision of vehicle sensors. This, in turn, is crucial for a vehicle's ability to perceive it…

cs.RO2024★ 13 cited

Literature Review on Maneuver-Based Scenario Description for Automated Driving Simulations

Nicole Neis, Juergen Beyerer

The increasing complexity of automated driving functions and their growing operational design domains imply more demanding requirements on their validation. Classical methods such…

cs.RO2024★ 2 cited

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…

cs.RO2024

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…

cs.RO2024★ 10 cited

An Approach to Systematic Data Acquisition and Data-Driven Simulation for the Safety Testing of Automated Driving Functions

Leon Eisemann, Mirjam Fehling-Kaschek, Henrik Gommel +13

With growing complexity and criticality of automated driving functions in road traffic and their operational design domains (ODD), there is increasing demand for covering significa…

cs.RO2024★ 5 cited

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…

cs.RO2017★ 11 cited

Model Identification and Controller Parameter Optimization for an Autopilot Design for Autonomous Underwater Vehicles

Ralf Taubert, Mike Eichhorn, Christoph Ament +3

Nowadays an accurate modeling of the system to be controlled is essential for reliable autopilot. This paper presents a non-linear model of the autonomous underwater vehicle 'CWolf…

cs.RO2017★ 21 cited

Modular AUV System for Sea Water Quality Monitoring and Management

Mike Eichhorn, Ralf Taubert, Christoph Ament +2

The sustained and cost-effective monitoring of the water quality within European coastal areas is of growing importance in view of the upcoming European marine and maritime directi…