83 citations · 221 across the 12 of their papers we have counts for
4 papers · 1 filter
Knowledge transfer between bridges for drive-by monitoring using adversarial and multi-task learning
Jingxiao Liu, Mario Bergés, Jacobo Bielak +1
Monitoring bridge health using the vibrations of drive-by vehicles has various benefits, such as low cost and no need for direct installation or on-site maintenance of equipment on…
LaNet: Real-time Lane Identification by Learning Road SurfaceCharacteristics from Accelerometer Data
Madhumitha Harishankar, Jun Han, Sai Vineeth Kalluru Srinivas +7
The resolution of GPS measurements, especially in urban areas, is insufficient for identifying a vehicle's lane. In this work, we develop a deep LSTM neural network model LaNet tha…
Damage-sensitive and domain-invariant feature extraction for vehicle-vibration-based bridge health monitoring
Jingxiao Liu, Bingqing Chen, Siheng Chen +3
We introduce a physics-guided signal processing approach to extract a damage-sensitive and domain-invariant (DS & DI) feature from acceleration response data of a vehicle traveling…
Knowledge Transfer between Buildings for Seismic Damage Diagnosis through Adversarial Learning
Susu Xu, Hae Young Noh
Automated structural damage diagnosis after earthquakes is important for improving the efficiency of disaster response and rehabilitation. In conventional data-driven frameworks wh…