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End-to-End Probabilistic Ego-Vehicle Localization Framework

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Academic year: 2021

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Fig. 1: Overall algorithm for complete localization of the ego-vehicle starting from the Road-level localization (RLL): to locate the vehicle on the map Using OSM and GPS datasets, to the Lane-level localization (LLL): to locate the  ego-vehicle within its
TABLE 1: Transition matrix for example shown on Figure 4
Fig. 5: Example of calculation for transition probability s tτ ij , the vehicle is illustrated by the box with black triangle, ψ represents the Way heading and θ the vehicle’s heading
Fig. 7: All different steps of the Recognition stage for ego- ego-lane marking detection.
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