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Edge AI and monocular vision enable robust rover navigation

作者 PulseAugur 编辑部 · [2 个来源] ·

Researchers have developed a depth-aware rover system that utilizes edge AI and monocular vision for navigation. The study compared simulated stereo vision with real-world monocular depth estimation, finding the latter to be more practical. The rover achieved 0.1 FPS for depth estimation and 10 FPS for object detection using a Raspberry Pi 4. AI

影响 Demonstrates a cost-effective approach to real-world AI navigation using monocular vision on edge devices.

排序理由 Academic paper detailing a novel approach to AI-powered rover navigation.

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

Edge AI and monocular vision enable robust rover navigation

报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Lomash Relia, Jai G Singla, Amitabh, Nitant Dube ·

    Depth-Aware Rover: A Study of Edge AI and Monocular Vision for Real-World Implementation

    arXiv:2604.22331v1 Announce Type: new Abstract: This study analyses simulated and real-world implementations of depth-aware rover navigation, highlighting the transition from stereo vision to monocular depth estimation using edge AI. A Unity-based lunar terrain simulator with ste…

  2. arXiv cs.CV TIER_1 English(EN) · Nitant Dube ·

    Depth-Aware Rover: A Study of Edge AI and Monocular Vision for Real-World Implementation

    This study analyses simulated and real-world implementations of depth-aware rover navigation, highlighting the transition from stereo vision to monocular depth estimation using edge AI. A Unity-based lunar terrain simulator with stereo cameras and OpenCV's StereoSGBM was used to …

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