activity
20222026
most citedInteraction-Aware Motion Planning for Autonomous Vehicles with Multi-Modal Obstacle Uncertainty Predictions

50 citations · 58 across the 7 of their papers we have counts for

collaborators

8 papers

cs.RO2026

Towards Intent-Aware Human-Robot Teaming: A Platform for Search-and-Rescue Operations

Rohith Prem Maben, Ayesha Jena, Björn Olofsson +4

We investigate the challenges of enabling effective collaboration between human operators and heterogeneous autonomous agents in complex, dynamic environments by developing an inte…

cs.CV2026

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…

cs.RO2024

Uncertainty-Aware Decision-Making and Planning for Autonomous Forced Merging

Jian Zhou, Yulong Gao, Björn Olofsson +1

In this paper, we develop an uncertainty-aware decision-making and motion-planning method for an autonomous ego vehicle in forced merging scenarios, considering the motion uncertai…

cs.RO2024

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…

cs.CV2024★ 6 cited

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…

cs.RO2024

Robust Predictive Motion Planning by Learning Obstacle Uncertainty

Jian Zhou, Yulong Gao, Ola Johansson +2

Safe motion planning for robotic systems in dynamic environments is nontrivial in the presence of uncertain obstacles, where estimation of obstacle uncertainties is crucial in pred…

eess.SY2023★ 2 cited

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…

eess.SY2022★ 50 cited

Interaction-Aware Motion Planning for Autonomous Vehicles with Multi-Modal Obstacle Uncertainty Predictions

Jian Zhou, Björn Olofsson, Erik Frisk

This paper proposes an interaction and safety-aware motion-planning method for an autonomous vehicle in uncertain multi-vehicle traffic environments. The method integrates the abil…