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Chalmers University of Technology
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Current online mapping benchmarks are too blunt: a new order-aware metric reveals that detection, not geometric accuracy, is the real bottleneck in state-of-the-art methods.
Achieve geometrically consistent lane-level HD maps from crowd-sourced data using only monocular cameras, consumer-grade GNSS, and IMUs by fusing B-spline representations with a novel Bayesian approach.
