Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs
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DOI: 10.1109/lra.2020.3004794
Abstract: We present a novel approach for traffic forecasting in urban traffic scenarios using a combination of spectral graph analysis and deep learning. We predict both the low-level information (future trajectories) as well as the high-level… read more here.
Keywords: agents using; spectral clustering; road; prediction ... See more keywords