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Jan 16, 2024 · In this paper, we proposed a system to construct a probabilistic metric map enriched with object information extracted from the environment from RGB-D images.
Abstract—To autonomously navigate in real-world environ- ments, special in search and rescue operations, Unmanned Aerial. Vehicles (UAVs) necessitate ...
In this paper, we show it can be used within a grounded CCG semantic parsing approach that learns a joint model of meaning and context for interpreting and ...
May 11, 2023 · This contribution summarises our efforts towards a real-time capable UAV mapping solution with direct data interpretation.
Semantic mapping is a promising framework to provide robots with a richer representation of their environment by augmenting spatial maps with semantic labels.
Missing: Oriented Reliable UAVs
This paper proposes a novel approach to map-based navigation for unmanned aircraft. The proposed approach employs pattern matching of ground objects.
Jun 7, 2024 · We propose a novel and complete framework to realize the autonomous landing of UAVs in unknown indoor scenes based on visual SLAM, semantic segmentation, ...
Missing: Oriented | Show results with:Oriented
Jan 17, 2024 · Abstract. This paper presents an approach to take into account semantic informa- tion for autonomous robot tasks which require planning ...
In this paper an efficient object-oriented semantic mapping approach suitable for UAVs and similar constrained robots in dynamic environments is proposed ...
Missing: Reliable | Show results with:Reliable