论文标题
自动校准方法使用用于城市自动驾驶应用程序的停车标志
Auto-calibration Method Using Stop Signs for Urban Autonomous Driving Applications
论文作者
论文摘要
传感器的校准对于智能车辆的稳健性能至关重要。在自然环境中，干扰很容易挑战校准。一种可能性是使用已知形状的天然物体重新校准传感器。提出了一种基于对交通标志的识别（例如停车标志）的方法，并提出了使用它们来重新校准相机的方法。该方法基于检测，几何估计，校准和递归更新。提出了自然环境的结果，这些结果清楚地表明了融合并改善了性能。
Calibration of sensors is fundamental to robust performance for intelligent vehicles. In natural environments, disturbances can easily challenge calibration. One possibility is to use natural objects of known shape to recalibrate sensors. An approach based on recognition of traffic signs, such as stop signs, and use of them for recalibration of cameras is presented. The approach is based on detection, geometry estimation, calibration, and recursive updating. Results from natural environments are presented that clearly show convergence and improved performance.
