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09/12/2023
Enabling the Deployment of Any-Scale Robotic Applications in Microservice Architectures through Automated Containerization
In an increasingly automated world – from warehouse robots to self-drivi...
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08/14/2023
RobotKube: Orchestrating Large-Scale Cooperative Multi-Robot Systems with Kubernetes and ROS
Modern cyber-physical systems (CPS) such as Cooperative Intelligent Tran...
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08/01/2023
Simulative Performance Analysis of an AD Function with Road Network Variation
Automated driving functions (ADFs) have become increasingly popular in r...
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07/21/2023
Acquire Driving Scenarios Efficiently: A Framework for Prospective Assessment of Cost-Optimal Scenario Acquisition
Scenario-based testing is becoming increasingly important in safety assu...
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04/16/2023
Framework for Quality Evaluation of Smart Roadside Infrastructure Sensors for Automated Driving Applications
The use of smart roadside infrastructure sensors is highly relevant for ...
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04/07/2023
Combined Registration and Fusion of Evidential Occupancy Grid Maps for Live Digital Twins of Traffic
Cooperation of automated vehicles (AVs) can improve safety, efficiency a...
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11/15/2022
Data-Driven Occupancy Grid Mapping using Synthetic and Real-World Data
In perception tasks of automated vehicles (AVs) data-driven have often o...
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09/29/2022
Road Network Variation Based on HD Map Analysis for the Simulative Safety Assurance of Automated Vehicles
The validation and verification of automated driving functions (ADFs) is...
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09/08/2022
Enabling Connectivity for Automated Mobility: A Novel MQTT-based Interface Evaluated in a 5G Case Study on Edge-Cloud Lidar Object Detection
Enabling secure and reliable high-bandwidth lowlatency connectivity betw...
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06/08/2022
Robust Environment Perception for Automated Driving: A Unified Learning Pipeline for Visual-Infrared Object Detection
The RGB complementary metal-oxidesemiconductor (CMOS) sensor works withi...
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02/12/2022
An Automated Analysis Framework for Trajectory Datasets
Trajectory datasets of road users have become more important in the last...
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07/13/2021
Corridor for new mobility Aachen-Düsseldorf: Methods and concepts of the research project ACCorD
With the Corridor for New Mobility Aachen - Düsseldorf, an integrated de...
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06/08/2021
Highly accurate digital traffic recording as a basis for future mobility research: Methods and concepts of the research project HDV-Mess
The research project HDV-Mess aims at a currently missing, but very cruc...
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02/25/2021
A Simulation-based End-to-End Learning Framework for Evidential Occupancy Grid Mapping
Evidential occupancy grid maps (OGMs) are a popular representation of th...
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02/16/2021
A Review of Testing Object-Based Environment Perception for Safe Automated Driving
Safety assurance of automated driving systems must consider uncertain en...
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12/09/2020
6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment
Verification and validation of automated driving functions impose large ...
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12/02/2020
Deep Inverse Sensor Models as Priors for evidential Occupancy Mapping
With the recent boost in autonomous driving, increased attention has bee...
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07/28/2020
Real-Time Point Cloud Fusion of Multi-LiDAR Infrastructure Sensor Setups with Unknown Spatial Location and Orientation
The use of infrastructure sensor technology for traffic detection has al...
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06/22/2020
High-Precision Digital Traffic Recording with Multi-LiDAR Infrastructure Sensor Setups
Large driving datasets are a key component in the current development an...
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06/04/2020
Generation of Complex Road Networks Using a Simplified Logical Description for the Validation of Automated Vehicles
Simulation is a valuable building block for the verification and validat...
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05/08/2020
A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye View
Accurate environment perception is essential for automated driving. When...
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05/05/2020
Reducing Uncertainty by Fusing Dynamic Occupancy Grid Maps in a Cloud-based Collective Environment Model
Accurate environment perception is essential for automated vehicles. Sin...
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11/18/2019
The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections
Automated vehicles rely heavily on data-driven methods, especially for c...
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03/29/2019
Deep, spatially coherent Occupancy Maps based on Radar Measurements
One essential step to realize modern driver assistance technology is the...
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03/29/2019
Deep, spatially coherent Inverse Sensor Models with Uncertainty Incorporation using the evidential Framework
To perform high speed tasks, sensors of autonomous cars have to provide ...
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10/11/2018
