50 citations · 60 across the 11 of their papers we have counts for
5 papers · 1 filter
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…
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…
Observer-Based Environment Robust Control Barrier Functions for Safety-critical Control with Dynamic Obstacles
Ying Shuai Quan, Jian Zhou, Erik Frisk +1
This paper proposes a safety-critical controller for dynamic and uncertain environments, leveraging a robust environment control barrier function (ECBF) to enhance the robustness a…
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…
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…