Vision-based Semantic Mapping and Localization for Autonomous Indoor Parking

In this paper, we proposed a novel and practical solution for the real-time indoor localization of autonomous driving in parking lots. High-level landmarks, the parking slots, are extracted and enriched with labels to avoid the aliasing of low-level visual features... (read more)

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