A reliable odometry source is a prerequisite to enable complex autonomy behaviour in next-generation robots operating in extreme environments. In this work, we present a high-precision lidar odometry system to achieve robust and real-time operation under challenging perceptual conditions. LOCUS (Lidar Odometry for Consistent operation in Uncertain Settings), provides an accurate multi-stage scan matching unit equipped with an health-aware sensor integration module for seamless fusion of additional sensing modalities. We evaluate the performance of the proposed system against state-of-the-art techniques in perceptually challenging environments, and demonstrate top-class localization accuracy along with substantial improvements in robustness to sensor failures. We then demonstrate real-time performance of LOCUS on various types of robotic mobility platforms involved in the autonomous exploration of the Satsop power plant in Elma, WA where the proposed system was a key element of the CoSTAR team's solution that won first place in the Urban Circuit of the DARPA Subterranean Challenge.
翻译:在这项工作中,我们提出了一个高精密的里达尔odophy系统,以便在具有挑战性的概念条件下实现稳健和实时操作。我们随后展示了LOCUS在各种类型的机器人移动平台上的实时性表现,这些平台参与了在Elma(WA)的Satsop发电厂的自主探索,其中拟议的系统是CoSTAR团队解决方案的一个关键要素,在DARPA Subterrane Challenge的城市电路中赢得了该团队的首选。