ARETE applies attention-based rasterized encoding with HSV transformation to crowdsourced trajectories for estimating vectorized lane topologies including centerlines and dividers.
IEEE Transactions on Intelligent Vehicles9(10), 5973–5994 (2024)
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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.