We present an extensive comparison between three topometric localization systems: radar-only, lidar-only, and a cross-modal radar-to-lidar system across varying seasonal and weather conditions using the Boreas dataset. Contrary to our expectations, our experiments showed that our lidar-only pipeline achieved the best localization accuracy even during a snowstorm. Our results seem to suggest that the sensitivity of lidar localization to moderate precipitation has been exaggerated in prior works. However, our radar-only pipeline was able to achieve competitive accuracy with a much smaller map. Furthermore, radar localization and radar sensors still have room to improve and may yet prove valuable in extreme weather or as a redundant backup system. Code for this project can be found at: https://github.com/utiasASRL/vtr3
翻译:与我们的期望相反,我们的实验表明,即使在暴风雪中,我们的激光雷达输油管也达到了最佳的定位精确度。我们的结果表明,以前的工作已经夸大了激光定位对中度降水的敏感度。然而,我们的雷达专用输油管能够以更小得多的地图实现竞争性准确性。此外,雷达本地化和雷达传感器仍有改进的空间,在极端天气或作为冗余备份系统,它们可能仍然很有价值。