English(EN) Adaptive Entropy-Driven Sensor Selection in a Camera-LiDAR Particle Filter for Single-Vessel Tracking

相机-激光雷达融合系统通过自适应传感器选择改进船舶跟踪

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-07 04:00

研究人员开发了一种新的粒子滤波器系统，该系统结合了来自相机和激光雷达传感器的数据，以改进船舶跟踪。该系统使用自适应策略来选择任何给定时间最有效的信息传感器，从而优化准确性和连续性。该方法在实际海事部署中得到了验证，证明了其在挑战性条件下的有效性。 AI

影响这种传感器融合技术可以增强海事监控和其他应用中自主系统的鲁棒性。

排序理由该集群包含一篇详细介绍新技术方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

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arXiv cs.LG TIER_1 English(EN) · Andrei Starodubov, Yaqub Aris Prabowo, Andreas Hadjipieris, Ioannis Kyriakides, Roberto Galeazzi · 2026-07-07 04:00

面向单船跟踪的相机-激光雷达粒子滤波器中的自适应熵驱动传感器选择

arXiv:2603.08457v2 Announce Type: replace-cross Abstract: Robust single-vessel tracking from fixed coastal platforms is hindered by modality-specific degradations: cameras suffer from illumination and visual clutter, while LiDAR performance drops with range and intermittent retur…