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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.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…