22 citations · 24 across the 4 of their papers we have counts for
4 papers
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…
Resilient Branching MPC for Multi-Vehicle Traffic Scenarios Using Adversarial Disturbance Sequences
Victor Fors, Björn Olofsson, Erik Frisk
An approach to resilient planning and control of autonomous vehicles in multi-vehicle traffic scenarios is proposed. The proposed method is based on model predictive control (MPC),…
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…