Record link: 
http://hdl.handle.net/20.500.12708/231148
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Title: 
Reinforcement Learning for Enhanced Ride Comfort: Vision-Based Speed Control over Road Obstacles
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Citation: 
Jaumann, F., Gasser, E., Schuster, T., Klinger, F., Unterreiner, M., Gräber, T., Hellwich, O., Edelmann, J., & Plöchl, M. (2025, August 20). Reinforcement Learning for Enhanced Ride Comfort: Vision-Based Speed Control over Road Obstacles [Conference Presentation]. The 29th IAVSD International Symposium on Dynamics of Vehicles on Roads and Tracks, Shanghai, China.
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Publication Type: 
Presentation - Conference Presentation
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Language: 
English
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Authors: 
Jaumann, Florian 
Gasser, Elazab 
Schuster, Tobias 
Klinger, Florian 
Unterreiner, Michael 
Gräber, Torben 
Hellwich, Olaf 
Edelmann, Johannes 
Plöchl, Manfred 
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Organisational Unit: 
E325-01 - Forschungsbereich Technische Dynamik und Fahrzeugdynamik 
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Date (published): 
20-Aug-2025
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Event name: 
The 29th IAVSD International Symposium on Dynamics of Vehicles on Roads and Tracks 
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Event date: 
18-Aug-2025 - 22-Aug-2025
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Event place: 
Shanghai, China
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Keywords: 
Monocular Depth Estimation; 3D Reconstruction; Reinforcement Learning; Longitudinal Control; Ride Comfort; Vehicle Dynamics
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Research facilities: 
Vienna Scientific Cluster 
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Research Areas: 
Modeling and Simulation: 40%
Automation and Robotics: 20%
Sensor Systems: 40%
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Science Branch: 
2030 - Maschinenbau: 100%
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