Landmark-based Localization using Stereo Vision and Deep Learning in GPS-Denied Battlefield Environment

arXiv:2402.12551v1 Announce Type: new
Abstract: Localization in a battlefield environment is increasingly challenging as GPS connectivity is often denied or unreliable, and physical deployment of anchor nodes across wireless networks for localization can be difficult in hostile battlefield terrain. Existing range-free localization methods rely on radio-based anchors and their average hop distance which suffers from accuracy and stability in dynamic and sparse wireless network topology. Vision-based methods like SLAM and Visual Odometry use expensive sensor fusion techniques for map generation …

abstract anchor anchors arxiv battlefield connectivity cs.ai cs.cv deep learning deployment environment free gps landmark localization networks nodes radio type vision wireless