A Two-Stage Deep Learning Framework for Road Anomaly Detection and Severity Estimation 2025 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis

Place, publisher, year, edition, pages

2025. , p. 48

Keywords [en]

Road Anomaly Detection, Deep Learning, Computer Vision, Object Detection, Severity Estimation, RF-DETR, U-Net Segmentation, 2D Camera Analysis, Suspension Sensor Data, Autonomous Vehicles

National Category

Robotics and automation

Identifiers

URN: urn:nbn:se:hv:diva-23626Local ID: EXA600OAI: oai:DiVA.org:hv-23626DiVA, id: diva2:1977070

Subject / course

Robotics

Educational program

Master in AI and automation

Supervisors

Examiners

Available from: 2025-06-26 Created: 2025-06-25 Last updated: 2025-06-26Bibliographically approved

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Department of Engineering Science

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Robotics and automation

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