This work presents a trajectory clustering approach that groups trajectories without the need of manually-tuned distance thresholds.
Abstract—This work presents a trajectory clustering ap- proach that groups trajectories without the need of manually- tuned distance thresholds.
Publications (16). Environment-based trajectory clustering to extract principal directions for autonomous vehicles · Article. October 2014. ·. 31 Reads. ·. 7 ...
This work proposes an original trajectory clustering algorithm for extracting motion patterns from trajectory data and demonstrates its effectiveness over ...
Based on the drivers' characteristics and artificial potential field (APF), an improved local path planning algorithm is proposed in this paper.
Mar 24, 2016 · We present a method that is suitable for clustering of vehicle trajectories obtained by an automated vision system.
These technologies allow vehicles to perceive and interact with their environment, making real-time decisions essential for autonomous operation.
Missing: principal | Show results with:principal
Aug 20, 2024 · This research focuses on enhancing the understanding and classification of vehicle driving styles by analyzing extensive trajectory data.
Missing: extract | Show results with:extract
Nov 22, 2021 · After extracting individual clusters, each object is associated across time to reason about an object's states that depend on temporal ...
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Jul 23, 2020 · A review of unsupervised approaches for vehicle behaviour analysis with a focus on trajectory clustering and topic modelling methods is provided ...