Christian Berger

LLMs Can Check Their Own Results to Mitigate Hallucinations in Traffic Understanding Tasks

Predicting Pedestrian Crossing Behavior in Germany and Japan: Insights into Model Transferability

Engineering Safety Requirements for Autonomous Driving with Large Language Models

Predicting and Analyzing Pedestrian Crossing Behavior at Unsignalized Crossings

2024

A SURVEY OF RECENT AUTOMOTIVE SOFTWARE SECURITY VULNERABILITIES: TRENDS AND ATTACK VECTORS

Comparing Optical Flow and Deep Learning to Enable Computationally Efficient Traffic Event Detection with Space-Filling Curves

Semantic-Aware Representation of Multi-Modal Data for Data Ingress: A Literature Review

Evaluating and Enhancing Trustworthiness of LLMs in Perception Tasks

2023

Analyzing Factors Influencing Pedestrian Behavior in Urban Traffic Scenarios using Deep Learning

2023

The use of AI in AV human-factors research and human-factors requirements in AI-based AV design : Deliverable 2.4 in the EC ITN project SHAPE-IT

On STPA for Distributed Development of Safe Autonomous Driving: An Interview Study

Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings

AirDnD-Asynchronous In-Range Dynamic and Distributed Network Orchestration Framework

2023

Pedestrian Behavior Prediction Using Deep Learning Methods for Urban Scenarios: A Review

Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets

2023

Spatial-Temporal-Spectral LSTM: A Transferable Model for Pedestrian Trajectory Prediction

Systematic Evaluation of Applying Space-Filling Curves to Automotive Maneuver Detection

Learning the Pedestrian-Vehicle Interaction for Pedestrian Trajectory Prediction

2022

Application and evaluation of direct sparse visual odometry in marine vessels

2022

Traction Adaptive Motion Planning and Control at the Limits of Handling

2022

Over 60,000 km in a year: remotely collecting large-volume high-quality data from a logistics truck

An Industrial Experience Report about Challenges from Continuous Monitoring, Improvement, and Deployment for Autonomous Driving Features

Formally Robust and Safe Trajectory Planning and Tracking for Autonomous Vehicles

Performance analysis of out-of-distribution detection on trained neural networks

Understanding the Impact of Edge Cases from Occluded Pedestrians for ML Systems

Social-IWSTCNN: A social interaction-weighted spatio- temporal convolutional neural network for pedestrian trajectory prediction in urban traffic scenarios

2021

Are we ready for beyond-application high-volume data? The Reeds robot perception benchmark dataset

2020

Continuous Experimentation and the cyber-physical systems challenge: An overview of the literature and the industrial perspective.

Continuous Experimentation for Automotive Software on the Example of a Heavy Commercial Vehicle in Daily Operation

HPM-Frame: A Decision Framework for Executing Software on Heterogeneous Platforms

Principles for Re-architecting Software for Heterogeneous Platforms

HAFLoop: An architecture for supporting Highly Adaptive Feedback Loops in self-adaptive systems

Microservice Architectures for Advanced Driver Assistance Systems: A Case-Study

Towards Structured Evaluation of Deep Neural Network Supervisors

Systematic benchmarking for reproducibility of computer vision algorithms for real-time systems: The example of optic flow estimation

Autonomous vehicles: state of art, future trends, and challenges

The Automotive Take on Continuous Experimentation: A Multiple Case Study

2019

Test your self-driving algorithm: An overview of publicly available driving datasets and virtual testing environments

2019

Evolution of technical debt: An exploratory study

Improving Code Smell Predictions in Continuous Integration by Differentiating Organic from Cumulative Measures

The Best Rated Human-Machine Interface Design for Autonomous Vehicles in the 2016 Grand Cooperative Driving Challenge

2017

Symmetry-Breaking Supercollisions in Landau-Quantized Graphene

Correlations of software code metrics: An empirical study

Comparison of model size predictors in practice

Considerations about continuous experimentation for resource-constrained platforms in self-driving vehicles

Software-related challenges of testing automated vehicles

Containerized development and microservices for self-driving vehicles: Experiences & best practices

Design Criteria to Architect Continuous Experimentation for Self-Driving Vehicles

Paving the roadway for safety of automated vehicles: An empirical study on testing challenges

Mastering data complexity for autonomous driving with adaptive point clouds for urban environments

Predicting and evaluating software model growth in the automotive industry

Analyzing defect inflow distribution and applying Bayesian inference method for software defect prediction in large software projects

2016

Microscopic origins of the terahertz carrier relaxation and cooling dynamics in graphene

An Open Continuous Deployment Infrastructure for a Self-driving Vehicle Ecosystem

Systematic Evaluation of Sandboxed Software Deployment for Real-time Software on the Example of a Self-Driving Heavy Vehicle

Unveiling Anomalies and Their Impact on Software Quality in Model-Based Automotive Software Revisions with Software Metrics and Domain Experts

Towards state-of-the-art and future trends in testing of active safety systems

Continuous experimentation on cyber-physical systems: Challenges and opportunities

2016

Slow Noncollinear Coulomb Scattering in the Vicinity of the Dirac Point in Graphene

Adaptive message restructuring using model-driven engineering

Expectations and Challenges from Scaling Agile in Mechatronics-Driven Companies - nA Comparative Case Study

Comparing the Applicability of Complexity Measurements for Simulink Models during Integration Testing – An Industrial Case Study

Comparing the applicability of complexity measurements for simulink models during integration testing: an industrial case study

A Methodology for Simulation and Validation of a Safety-Critical Electronic Control Unit for Integration Testing in Connected Hardware-in-the-Loop Environments

Challenges from Integration Testing using Interconnected Hardware-in-the-Loop Test Rigs at an Automotive OEM - An Industrial Experience Report

Simulations on Consumer Tests: A Systematic Evaluation Approach in an Industrial Case Study (Extended Version)

Challenges from Integration Testing using Interconnected Hardware-in-the-Loop Test Rigs at an Automotive OEM: An Industrial Experience Report

Design and Evaluation of a Customizable Multi-Domain Reference Architecture on top of Product Lines of Self-Driving Heavy Vehicles – An Industrial Case Study

On the role of cross-disciplinary research and SSE in addressing the challenges of the digitalization of society

Expectations and Challenges from Scaling Agile in Mechatronics-Driven Companies - A Comparative Case Study

Improving Bandwidth Efficiency with Self-Adaptation for Data Marshalling on the Example of a Self-Driving Miniature Car

Design and Evaluation of a Customizable Multi-Domain Reference Architecture on top of Product Lines of Self- Driving Heavy Vehicles - An Industrial Case Study

Improving Dependability of Embedded Software Systems using Fault Bypass Modeling (FBM)

Large-Scale Evaluation of an Active Safety Algorithm with EuroNCAP and US NCAP Scenarios in a Virtual Test Environment – An Industrial Case Study

Systematic Evaluation of Three Data Marshalling Approaches for Distributed Software Systems

Accelerating Regression Testing for Scaled Self-Driving Cars with Lightweight Virtualization – A Case Study

Simulations on Consumer Tests: A Systematic Evaluation Approach in an Industrial Case Study

Comparison of Architectural Design Decisions for Resource-Constrained Self-Driving Cars – A Multiple Case-Study

Towards continuous integration for cyber-physical systems on the example of self-driving miniature cars

From a Competition for Self-Driving Miniature Cars to a Standardized Experimental Platform: Concept, Models, Architecture, and Evaluation

2014

Technical Evaluation of the Carolo-Cup 2014 - A Competition for Self-Driving Miniature Cars

Agile Model-Driven Engineering in Mechatronic Systems - An Industrial Case Study

Driving with Confidence: Local Dynamic Maps That Provide LoS for the Gulliver Test-bed

Selecting software reliability growth models and improving their predictive accuracy using historical projects data

enseDSL: Automating the Integration of Sensors for MCU-based Robots and Cyber-Physical Systems

Saving Virtual Testing Time for CPS by Analyzing Code Coverage on the Example of a Lane-Following Algorithm

The Adoption of Machine Learning Techniques for Software Defect Prediction: An Initial Industrial Validation

Explicating, Understanding and Managing Technical Debt from Self-Driving Miniature Car Projects

Scenario Pattern Matching in Large Sensor Recordings with Simulation Models for Cyber-Physical Systems

Visualizing Testing Activities to Support Continuous Integration: A Multiple Case Study

Analysing defect inflow distribution of automotive software projects

Early Verification and Validation According to ISO 26262 by Combining Fault Injection and Mutation Testing

The CIViT Model in a Nutshell: Visualizing Testing Activities to Support Continuous Integration

Engineering the Hardware/Software Interface for Robotic Platforms – A Comparison of Applied Model Checking with Prolog and Alloy

Open Issues in Reuse of Certified Components in Cyber Physical Systems

An Interdisciplinary Perspective to the Design and Decision Support of Integral Safety Systems

2013

Bridging Physical and Digital Traffic System Simulations with the Gulliver Test-Bed

Evaluating long-term predictive power of standard reliability growth models on automotive systems

Increasing Efficiency of ISO 26262 Verification and Validation by Combining Fault Injection and Mutation Testing with Model Based Development

On Using the Gulliver Platform for Bridging Physical and Digital Traffic System Simulations

Evaluation of standard reliability growth models in the context of automotive software systems

Educational Effect of a Student Competition for Self-Driving Cars on Selected Software Engineering Topics

Comparing between Maximum Likelihood Estimator and Non-Linear Regression estimation procedures for Software Reliability Growth Modelling

Improving Fault Injection in Automotive Model Based Development using Fault Bypass Modeling

COTS-Architecture with a Real-Time OS for a Self-Driving Miniature Vehicle

2013

Model-based, Composable Simulation for the Development of Autonomous Miniature Vehicles

2013

MDE-based Sensor Management and Verification for a Self-Driving Miniature Vehicle

Improving Scenario Selection for Simulations by Run-Time Control-Flow Analysis

Meta-Metrics for Simulations in Software Engineering on the Example of Integral Safety Systems

Improving fault injection in automotive model based development using fault bypass modeling

Constructive Requirements Modeling - More Reliable Implementations in a Shorter Time

Introduction

Engineering Autonomous Driving Software

From Autonomous Vehicles to Safer Cars: Selected Challenges for the Software Engineering

Verification of ISO 26262 Software requirements in safety critical EE-systems

Towards transactional self-adaption for AUTOSAR on the example of a collision detection system

Design Considerations for a Cyber-Physical Testing Language on the Example of Autonomous Driving

Cloud-based Testing for Context-Aware Cyber-Physical Systems

Autonomous Driving - 5 Years after the Urban Challenge: The Anticipatory Vehicle as a Cyber-Physical System