6 citations · 12 across the 9 of their papers we have counts for
9 papers
Unveiling Transferability in Trajectory Prediction via Latent Scene Embeddings
Theodor Westny, David Axelsson, Björn Olofsson +1
The growing availability of trajectory datasets has fueled major advances in data-driven motion prediction. Yet, models trained on one dataset often fail to generalize beyond their…
Toward Unified Practices in Trajectory Prediction Research on Bird's-Eye-View Datasets
Theodor Westny, Björn Olofsson, Erik Frisk
The availability of high-quality datasets is crucial for the development of behavior prediction algorithms in autonomous vehicles. This paper highlights the need to standardize the…
Diffusion-Based Environment-Aware Trajectory Prediction
Theodor Westny, Björn Olofsson, Erik Frisk
The ability to predict the future trajectories of traffic participants is crucial for the safe and efficient operation of autonomous vehicles. In this paper, a diffusion-based gene…
Uncertainties in Robust Planning and Control of Autonomous Tractor-Trailer Vehicles
Theodor Westny, Björn Olofsson, Erik Frisk
To study the effects of uncertainty in autonomous motion planning and control, an 8-DOF model of a tractor-semitrailer is implemented and analyzed. The implications of uncertaintie…
Stability-Informed Initialization of Neural Ordinary Differential Equations
Theodor Westny, Arman Mohammadi, Daniel Jung +1
This paper addresses the training of Neural Ordinary Differential Equations (neural ODEs), and in particular explores the interplay between numerical integration techniques, stabil…
Analysis of Numerical Integration in RNN-Based Residuals for Fault Diagnosis of Dynamic Systems
Arman Mohammadi, Theodor Westny, Daniel Jung +1
Data-driven modeling and machine learning are widely used to model the behavior of dynamic systems. One application is the residual evaluation of technical systems where model pred…
Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction
Theodor Westny, Joel Oskarsson, Björn Olofsson +1
Given their flexibility and encouraging performance, deep-learning models are becoming standard for motion prediction in autonomous driving. However, with great flexibility comes a…
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs
Theodor Westny, Joel Oskarsson, Björn Olofsson +1
Enabling resilient autonomous motion planning requires robust predictions of surrounding road users' future behavior. In response to this need and the associated challenges, we int…
Vehicle Behavior Prediction and Generalization Using Imbalanced Learning Techniques
Theodor Westny, Erik Frisk, Björn Olofsson
The use of learning-based methods for vehicle behavior prediction is a promising research topic. However, many publicly available data sets suffer from class distribution skews whi…