ARETE applies attention-based rasterized encoding with HSV transformation to crowdsourced trajectories for estimating vectorized lane topologies including centerlines and dividers.
In: 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)
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ARETE: Attention-based Rasterized Encoding for Topology Estimation using HSV-transformed Crowdsourced Vehicle Fleet Data
ARETE applies attention-based rasterized encoding with HSV transformation to crowdsourced trajectories for estimating vectorized lane topologies including centerlines and dividers.