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Monocular camera localization within dense LiDAR maps no longer requires complex dual-encoder architectures: converting both inputs to unified depth representations lets a single vision foundation model outperform specialized cross-modal baselines under extreme environmental shifts.
Robots equipped with ObsGraph can achieve higher success rates in complex environments by dynamically adapting their exploration strategies based on structured scene representations.
