Gordon Elger
Orcid: 0000-0002-7643-7327
According to our database1,
Gordon Elger
authored at least 25 papers
between 2015 and 2024.
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Bibliography
2024
First steps towards real-world traffic signal control optimisation by reinforcement learning.
J. Simulation, November, 2024
Precise Adverse Weather Characterization by Deep-Learning-Based Noise Processing in Automotive LiDAR Sensors.
Remote. Sens., July, 2024
CoRR, 2024
Semi-Automatic Annotation of 3D Radar and Camera for Smart Infrastructure-Based Perception.
IEEE Access, 2024
Scalable Radar-based Roadside Perception: Self-localization and Occupancy Heat Map for Traffic Analysis.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Proceedings of the European Control Conference, 2024
2023
Accelerated Real-Life (ARL) Testing and Characterization of Automotive LiDAR Sensors to facilitate the Development and Validation of Enhanced Sensor Models.
CoRR, 2023
Instance Segmentation and Detection of Children to Safeguard Vulnerable Traffic User by Infrastructure.
Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems, 2023
Automotive LiDAR Based Precipitation State Estimation Using Physics Informed Spatio-Temporal 3D Convolutional Neural Networks (PIST-CNN).
Proceedings of the 29th International Conference on Mechatronics and Machine Vision in Practice, 2023
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
Concept of Smart Infrastructure for Connected Vehicle Assist and Traffic Flow Optimization.
Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems, 2022
Proceedings of the Smart Cities, Green Technologies, and Intelligent Transport Systems, 2022
Proceedings of the 11th International Conference on Sensor Networks, 2022
Modeling Methodology and In-field Measurement Setup to Develop Empiric Weather Models for Solid-State LiDAR Sensors.
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2022
Reinforcement Learning for Traffic Signal Control Optimization: A Concept for Real-World Implementation.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
2021
A New Noise-Suppression Algorithm for Transient Thermal Analysis in Semiconductors Over Pulse Superposition.
IEEE Trans. Instrum. Meas., 2021
Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry.
Reliab. Eng. Syst. Saf., 2021
Concept of Infrastructure Based Environment Perception for IN2Lab test field for Automated Driving.
Proceedings of the IEEE International Smart Cities Conference, 2021
Correlating Intrinsic Parameters and Sharpness for Condition Monitoring of Automotive Imaging Sensors.
Proceedings of the 5th International Conference on System Reliability and Safety, 2021
2020
Tensor-Based Framework With Model Order Selection and High Accuracy Factor Decomposition for Time-Delay Estimation in Dynamic Multipath Scenarios.
IEEE Access, 2020
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020
2017
Location resolved transient thermal analysis to investigate crack growth in solder joints.
Microelectron. Reliab., 2017
2016
The influence of the phosphor layer as heat source and up-stream thermal masses on the thermal characterization by transient thermal analysis of modern wafer level high power LEDs.
Microelectron. Reliab., 2016
Microelectron. Reliab., 2016
2015
Analysis of solder joint reliability of high power LEDs by transient thermal testing and transient finite element simulations.
Microelectron. J., 2015