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05/03/2022
Bézier Curve Gaussian Processes
Probabilistic models for sequential data are the basis for a variety of ...
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07/01/2021
Generating Synthetic Training Data for Deep Learning-Based UAV Trajectory Prediction
Deep learning-based models, such as recurrent neural networks (RNNs), ha...
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06/30/2021
MissFormer: (In-)attention-based handling of missing observations for trajectory filtering and prediction
In applications such as object tracking, time-series data inevitably car...
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03/22/2021
Handling Missing Observations with an RNN-based Prediction-Update Cycle
In tasks such as tracking, time-series data inevitably carry missing obs...
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05/28/2020
Quantifying the Complexity of Standard Benchmarking Datasets for Long-Term Human Trajectory Prediction
Methods to quantify the complexity of trajectory datasets are still a mi...
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03/27/2020
A Short Note on Analyzing Sequence Complexity in Trajectory Prediction Benchmarks
The analysis and quantification of sequence complexity is an open proble...
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08/12/2019
Modeling continuous-time stochastic processes using N-Curve mixtures
Representations of sequential data are commonly based on the assumption ...
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02/05/2019
An RNN-based IMM Filter Surrogate
The problem of varying dynamics of tracked objects, such as pedestrians,...
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05/19/2018
An Evaluation of Trajectory Prediction Approaches and Notes on the TrajNet Benchmark
In recent years, there is a shift from modeling the tracking problem bas...
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04/16/2018