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Felix Kortmann
Felix Kortmann
PostDoc at Dartmouth College (C4TBH)
Email confirmado em ieee.org - Página inicial
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Detecting various road damage types in global countries utilizing faster r-cnn
F Kortmann, K Talits, P Fassmeyer, A Warnecke, N Meier, J Heger, ...
2020 IEEE International Conference on Big Data (Big Data), 5563-5571, 2020
242020
Enabling road condition monitoring with an on-board vehicle sensor setup
F Kortmann, H Peitzmeier, N Meier, J Heger, P Drews
2019 IEEE SENSORS, 1-4, 2019
112019
Modeling the quarter-vehicle: Use of passive sensor data for road condition monitoring
F Kortmann, J Horstkötter, A Warnecke, N Meier, J Heger, B Funk, ...
IEEE Sensors Journal 21 (14), 15535-15543, 2020
102020
Watch out, pothole! featuring road damage detection in an end-to-end system for autonomous driving
F Kortmann, P Fassmeyer, B Funk, P Drews
Data & Knowledge Engineering 142, 102091, 2022
92022
Towards a Camera-Based Road Damage Assessment and Detection for Autonomous Vehicles: Applying Scaled-YOLO and CVAE-WGAN
P Fassmeyer, F Kortmann, P Drews, B Funk
2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), 1-7, 2021
62021
Concept of a cloud state modeling system for lead-acid batteries: Theory and prototyping
F Kortmann, D Brieske, P Piekarek, J Eckstein, A Warnecke, P Drews, ...
2021 International Conference on Electronics, Information, and Communication …, 2021
62021
Applying quarter-vehicle model simulation for road elevation measurements utilizing the vehicle level sensor
F Kortmann, M Rodeheger, A Warnecke, N Meier, J Heger, B Funk, ...
2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), 1-6, 2020
32020
Creating value from in-vehicle data: Detecting road surfaces and road hazards
F Kortmann, YC Hsu, A Warnecke, N Meier, J Heger, B Funk, P Drews
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
32020
The Value of Deep Learning Tools in Object Detection: YOLOv5 in a Road Damage Use Case
F Kortmann, K Talits, A Warnecke, N Meier, J Heger, P Drews, B Funk
12022
Resilience of Spatial Environment Perception Towards Fully Automated Driving: A Review
M Kahlert, H Peitzmeier, D Evans, K Talits, F Kortmann, C Tebruegge
IEEE Sensors Journal, 2024
2024
Detecting and assessing road damages for autonomous driving utilizing conventional vehicle sensors
F Kortmann
2022
Live Demonstration: Passive Sensor Setup for Road Condition Monitoring
F Kortmann, J Horstkötter, A Warnecke, N Meier, J Heger, B Funk, ...
2020 IEEE SENSORS, 1-1, 2020
2020
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