在GNSS退化或被拒绝环境中的视觉辅助速度估计
Pierpaolo Serio1, Andrea Dan Ryals1, Francesca Piana1
1Department of Information Engineering, University of Pisa, 56127 Pisa, Italy.
Sensors (Basel, Switzerland)
|February 13, 2026
概括
本研究介绍了一种新的导航系统,用于在远程驾驶中可靠地估计速度,即使使用间歇性GPS. 该系统使用地标提取和顺序卡尔曼过器,在GPS无法使用时保持车辆控制.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 导航系统 导航系统
- 计算机视觉 计算机视觉
背景情况:
- 在远程驾驶场景中,全球定位系统 (GPS) 的可用性往往不可靠,这会影响车辆的导航和控制.
- 准确的速度估计对于保持车辆引导和控制性能至关重要,特别是在GPS中断期间.
研究的目的:
- 开发一种新的导航系统架构,用于在间歇GPS的环境中进行可靠的速度估计.
- 通过保持准确的速度估计,确保可靠的车辆引导和控制.
主要方法:
- 一个新的地标提取算法识别了环境特征,用于精确的速度调整.
- 一个序列卡尔曼波器处理相机数据相对于地标的状态估计.
- 立达测距与地标跟踪集成,以最大限度地减少速度误差.
主要成果:
- 该系统在现实世界轨迹测试中展示了有效的速度估计能力.
- 性能在各种条件下得到验证,包括GPS信号受损或不存在的场景.
- 拟议的架构成功地保持了稳定的速度估计.
结论:
- 开发的导航系统为在没有GPS的环境中远程驾驶提供了可行的解决方案.
- 该系统精确估计速度的能力提高了车辆控制可靠性.
- 这项研究有助于在具有挑战性的操作条件下实现强大的自主导航.
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