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Investigation on Robustness of Vehicle Localization Using Cameras and LiDAR
2022
Vehicles
Vehicle self-localization is one of the most important capabilities for automated driving. Current localization methods already provide accuracy in the centimeter range, so robustness becomes a key factor, especially in urban environments. There is no commonly used standard metric for the robustness of localization systems, but a set of different approaches. Here, we show a novel robustness score that combines different aspects of robustness and evaluate a graph-based localization method with
doi:10.3390/vehicles4020027
fatcat:oqlv6giawbbvzf2zenirzm5oau