53 citations · 192 across the 31 of their papers we have counts for
4 papers · 1 filter
Uncertainty-Aware Velocity Correction for Proprioceptive Vehicle Localization using Evidential Mamba
Abinav Kalyanasundaram, Karthikeyan Chandra Sekaran, Wolfgang Utschick +1
Reliable localization in GNSS-denied environments remains a fundamental challenge for intelligent vehicles, as inertial navigation systems accumulate unbounded drift without extern…
Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors
Abinav Kalyanasundaram, Karthikeyan Chandra Sekaran, Wolfgang Utschick +1
Accurate and robust localization is essential for autonomous mobility systems in real-world environments. While fusing Inertial Measurement Unit (IMU) data with satellite-based cor…
Uncertainty-Aware Hybrid Machine Learning in Virtual Sensors for Vehicle Sideslip Angle Estimation
Abinav Kalyanasundaram, Karthikeyan Chandra Sekaran, Philipp Stauber +3
Precise vehicle state estimation is crucial for safe and reliable autonomous driving. The number of measurable states and their precision offered by the onboard vehicle sensor syst…
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…