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RVN-Bench: A Benchmark for Reactive Visual Navigation
Safe visual navigation is critical for indoor mobile robots operating in cluttered environments. Existing benchmarks, however, often neglect collisions or are designed for outdoor scenarios, making them unsuitable for indoor visual navigation. To address this limitation, we introduce the reactive visual navigation benchmark (RVN-Bench), a collision-aware benchmark for indoor mobile robots.
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Memory-Efficient Voxelized Renderable Neural 3D Spatial Representation for Vision-Based Robotics
In this paper, we introduce a novel approach for modeling a memory-efficient spatial representation with 3D Gaussian splatting. The proposed method, named 3DSR, is an efficient voxelized renderable neural 3D spatial representation that utilizes 3D Gaussian splatting. 3DSR leverages the strengths of both voxelization (memory efficiency) and 3D Gaussian splatting (high-quality image reconstruction).
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Renderable Street View Map-Based Localization: Leveraging 3D Gaussian Splatting for Street-Level Positioning
Introduce a new method for street-level localization that first utilizes 3D Gaussian splatting in street-level localization problem