Publikationen

2024:

• S. Agrawal, S. Bhanderi, G. Elger: Semi-Automatic Annotation of 3D Radar and Camera for Smart Infrastructure-Based Perception," in IEEE Access, vol. 12, pp. 34325-34341, 2024, 

2023:

• S. Agrawal, S. Bhanderi, K. Doycheva and G. Elger, "Static Multitarget-Based Autocalibration of RGB Cameras, 3-D Radar, and 3-D Lidar Sensors," in IEEE Sensors Journal, vol. 23, no. 18, pp. 21493-21505, 15 Sept.15, 2023, doi: 10.1109/JSEN.2023.3300957.
• N. Senel, K. Kefferpütz, G. Elger, K. Doycheva: Multi-Sensor Data Fusion for Real-Time Multi-Object Tracking", Februar 2023, Processes 11(2):501.
• M. Tavakolibasti, P. Meszmer, B. Böttger, M. Kettelgerdes: Thermo-mechanical-optical coupling within a digital twin development for automotive LiDAR", Februar 2023,​​​​​​​ Microelectronics Reliability 141(4):114871.
• M. Kettelgerdes, G. Elger: In-field Measurement and Methodology for Modeling and Validation of Precipitation Effects on Solid-State LiDAR Sensors, Januar 2023​​​​​​​, IEEE Journal of Radio Frequency Identification PP(99).

2021:

• A. Theissler, J. Pérez-Velázquez, M. Kettelgerdes, G. Elger: Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry, in: Reliability Engineering & System Safety, 2021, 215, 107864.

2024:

• M. Kettelgerdes, T. Hillmann, T. Hirmer, H. Erdogan, B. Wunderle and G. Elger, „Accelerated Real-Life Testing of Automotive LiDAR Sensors as Enabler for In-Field Condition Monitoring. Symposium Elektronik und Systemintegration (ESI), Landshut, Germany, Apr 17, 2024.

2023:

• S. Agrawal, K. Doycheva, S. Bhanderi, G. Elger, "Instance Segmentation and Detection of Children to Safeguard Vulnerable Traffic User by Infrastructure", April. 2023 Conference: 9th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS), At: Prague.
• M. Kettelgerdes, T. Hillmann, T. Hirmer, H. Erdogan, B. Wunderle and G. Elger. Accelerated Real-Life (ARL) Testing and Characterization of Automotive LiDAR     Sensors to facilitate the Development and Validation of Enhanced Sensor Models. Symposium of Driving Simulation. Braunschweig, Germany, Nov 8-9, 2023.
• M. Kettelgerdes, A. Pandey, D. Unruh, H. Erdogan, B. Wunderle, and G. Elger. Automotive LiDAR Based Precipitation State Estimation Using Physics Informed Spatio-Temporal 3D Convolutional Neural Networks (PIST-CNN) Proc. 29th Int. Conf. on Mechatronics and Machine Vision in Practice (M2VIP), Queenstown, New   Zealand, Nov 21-24, 2023.
• M. Kettelgerdes, P. Meszmer, M.J. Haeussler, G. Böttger, M. Tavakolibasti, A. Pandey, H. Erdogan, G. Elger, R. Schacht and B. Wunderle. Realization, multi-field coupled simulation and characterization of a thermo-mechanically robust LiDAR front end on a copper coated glass substrate. Proc. 73rd Electronic Components and Technology Conference (ECTC), Orlando, Florida, May 30 - June 2, 2023.
• A. Pandey, D. Unruh, M. Kettelgerdes, B. Wunderle and G. Elger. Evaluation of thermally-induced change in sharpness of automotive cameras by coupled thermo-mechanical and optical simulation. Proc. SPIE Future Sensing Technologies, Yokohama, Japan, May 22, 2023.
• M. Schmid, M. Momberg, M. Kettelgerdes and G. Elger. Transient thermal analysis for VCSEL Diodes. Proc. 29th International Workshop on Thermal Investigations of ICs and Systems (THERMINIC), Budapest, Hungary, September 27-29, 2023.

2022:

• S. Agrawal, R. Song, A. Kohli, A. Korb, "Concept of Smart Infrastructure for Connected Vehicle Assist and Traffic Flow Optimization", Jan. 2022, Conference: 8th International Conference on Vehicle Technology and Intelligent Transport Systems; 
• E. Streck, R.  Herschel, P. Wallrath, M. Sunderam, "Comparison of Two Different Radar Concepts for Pedestrian Protection on Bus Stops", Jan. 2022 Conference: 11th International Conference on Sensor Networks.
• A. Pandey, S. K. Bhogaraju, K. Lux and G. Elger, "Analysis of stress in spherically bent thinned image sensors ", April 2022, Conference: EurosimeE 2022.
• P. Hausmann, H. Meeß and G. Elger, "Image Segmentation Based Emergency Landing for Autonomous and Automated Unmanned Aerial Vehicles ", September 2022, Conference: 33rd Congress of the international Council of the Aeronautical Science (ICAD2022), At: Stockholm Sweden
• M. Kettelgerdes, G. Elger, "Modeling Methodology and In-field Measurement Setup to Develop Empiric Weather Models for Solid-State LiDAR Sensors", Okt. 2022; Conference: IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI).
• M. Tavakolibasti, P. Meszmer, M. Kettelgerdes, G. Böttger, G. Elger, H. Erdogan, A. Seshaditya, and B. Wunderle, “Structural-Thermal-Optical-Performance (STOP) Analysis of a Lens Stack for Realization of a Digital Twin of an automotive LiDAR“, Proc. 23th EuroSimE Conf., Malta, April 24-27, 2022.

2021:
 

•  M. Kettelgerdes, G. Elger, L Böhm "Correlating Intrinsic Parameters and Sharpness for Condition Monitoring of Automotive Imaging Sensors" Nov. 2021; Conference: 5th International Conference on System Reliability and Safety (ICSRS).
• E. Streck, P.  Schmock, K. Schneider, H. Erdoğan, "Safeguarding Future Autonomous Traffic by Infrastructure based on Multi Radar Sensor Systems" Sep. 2021, Conference: FISITA World Congress, At: Prague, Czech Republic, online.
• S. Agrawal and G. Elger, "Concept of Infrastructure Based Environment Perception for IN2Lab test field for Automated Driving", Sep. 2021; Conference: IEEE International Smart Cities Conference, At: Virtual Conference.
• N. Senel, S. Udupa and G. Elger, "Sensor Data Preprocessing in Road-Side Sensor Units" FISITA 2021 World Congress (F2021-ACM-120)
• M. Tavakolibasti, P. Meszmer, G.  Bottger, and M. Kettelgerdes,"Thermo-mechanical-optical coupling within a digital twin development for automotive LiDAR",  Conference: April 2021 22nd International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE).
   

2020:

• N. Senel, G. Elger, A. Festag, “Sensor Time Synchronization in Smart Road Infrastructure”, FISITA 2020 World Congress (F2020-ACM-083).
• S. Kühn., A. Pandey, A. Zippelius, K. Schneider, H. Erdogan, G. Elger, “Analysis of package design of optic modules for automotive cameras to realize reliable image sharpness”, in 2020 IEEE 8th Electronics System-Integration Technology Conference (ESTC), September 2020, pp. 1-6, IEEE.
   

2023: 

Agrawal, S., Song, R., Doycheva, K., Knoll, A., Elger, G. (2023). Intelligent Roadside Infrastructure for Connected Mobility. In: Klein, C., Jarke, M., Ploeg, J., Helfert, M., Berns, K., Gusikhin, O. (eds) Smart Cities, Green Technologies, and Intelligent Transport Systems. SMARTGREENS VEHITS 2022 2022. Communications in Computer and Information Science, vol 1843. Springer, Cham. doi.org/10.1007/978-3-031-37470-8_6

Masterarbeiten:

• Philip Andrew Hausmann, 2024: Image Segmentation Based Emergency Landing for VTOL UAVs
• Nils Tjorven Hillmann, 2024: Development of a Mobile Measurement System to Evaluate the Influence of Adverse Weather Conditions on LiDAR-Based Object Detection
• Sujay Jairaman Iyer, 2024: Assembly process optimization for passive alignment of optic modules by parametric reduced order model.
• Raksha Padiyar, 2024: Road Construction Site Detection using Low-Level Sensor Fusion for Self-Driving Cars
• Stephan Kühn, 2022: Applicability of Optical Health Indicators for Condition Monitoring of Object Recognition Cameras in Automotive Applications
• Michael Dornseifer, 2022: Entwicklung und Evaluierung eines Raytracing-basierten Lidar-Sensormodells in Carmaker und Matlab/Simulink
• Praveen Kumar Gangadhari, 2022: Implementation of Multi-Material Thermo-Mechanical Surrogate Models by Using Physics-Informed Neural Networks
• Lena Böhm, 2021: Untersuchung der optischen Abbildungsqualität sowie der Distanzmessfehler einer Time-of-Flight Kamera unter variierenden Umgebungstemperaturen
• Amit Pandey, 2020: Analysis of Thermo-Mechanically Induced Change in Sharpness of an Automotive Optic Module by FE Simulation
   

Bachelorarbeiten:

• Schmidt, Lukas, 2024: Konstruktion, Aufbau und Inbetriebnahme einer Sensor-Dachbox zur Erprobung von Algorithmen zur heterogenen Sensordatenfusion im automatisierten Fahren 
• Ranim Aloui, 2023: Robotergestützte, automatisierte Detektion optischer Fehler am High Flash LiDAR mithilfe maschineller Lernverfahren
• Philip Blumhofer, 2022: Kalibrierung und Rohdatenfusion eines Verbundes aus RGB-Kamera und Automotive Flash-LiDAR
• Philip Andrew Hausmann, 2020: Blind Deconvolution zur Bestimmung der Schärfe des Optik Moduls im Feld