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Found 4 papers, 1 papers with code
Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows
In this context, normalizing flows originating from the field of variational inference are considered for the generation of sampling distributions, as they model transformations of simple to more complex distributions.
Transfer Learning Study of Motion Transformer-based Trajectory Predictions
Trajectory planning in autonomous driving is highly dependent on predicting the emergent behavior of other road users.
Occupancy Prediction for Building Energy Systems with Latent Force Models
An LFM-based model predictive control (MPC) concept for BES is presented that benefits from the extrapolation capability of mechanistic models and the learning ability of GPs to predict the occupancy within the building.
Concept for an Automatic Annotation of Automotive Radar Data Using AI-segmented Aerial Camera Images
This paper presents an approach to automatically annotate automotive radar data with AI-segmented aerial camera images.
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