Mobile robots rely on odometry to navigate through areas where localization fails. Visual odometry (VO) is a common solution for obtaining robust and consistent relative motion estimates of the vehicle frame. Contrarily, Global Positioning System (GPS) measurements are typically used for absolute positioning and localization. However, when the constraint on absolute accuracy is relaxed, time-differenced carrier phase (TDCP) measurements can be used to find accurate relative position estimates with one single-frequency GPS receiver. This suggests practitioners may want to consider GPS odometry as an alternative or in combination with VO. We describe a robust method for single-receiver GPS odometry on an unmanned ground vehicle (UGV). We then present an experimental comparison of the two strategies on the same test trajectories. After 1.8km of testing, the results show our GPS odometry method has a 75% lower drift rate than a proven stereo VO method while maintaining a smooth error signal despite varying satellite availability.
翻译:移动机器人在定位失败的地区导航时依靠odo量度法。 视觉odo量法(VO)是获得对车辆框架进行稳健和一致相对运动估计的常见解决办法。 相反, 全球定位系统测量通常用于绝对定位和定位。 但是,当对绝对精确度的限制放松时, 时间差的载体阶段(TDCP)测量可以用来用一个单一频率全球定位系统接收器找到准确的相对位置估计值。 这表明实践者可能想将全球定位系统odo量法视为一种替代品, 或与VO相结合。 我们描述了对无人驾驶地面飞行器(UGV)进行单接收器全球定位系统测量的可靠方法。 我们随后对同一测试轨迹上的两种战略进行了实验性比较。 在进行了1.8公里的测试后, 结果表明,我们的GPS奥量测定方法的漂移率比经过验证的立体VO方法低75%,尽管卫星的可用性能各不相同,但仍保持平稳误差信号。