2 papers
cs.LG2026
Online Monitoring Framework for Automotive Time Series Data using JEPA Embeddings
Alexander Fertig, Karthikeyan Chandra Sekaran, Lakshman Balasubramanian +1
As autonomous vehicles are rolled out, measures must be taken to ensure their safe operation. In order to supervise a system that is already in operation, monitoring frameworks are…
cs.RO2025
Hybrid Machine Learning Model with a Constrained Action Space for Trajectory Prediction
Alexander Fertig, Lakshman Balasubramanian, Michael Botsch
Trajectory prediction is crucial to advance autonomous driving, improving safety, and efficiency. Although end-to-end models based on deep learning have great potential, they often…