日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

週刊ニュースレター購読
arXiv:2110.01725

LLOL: Low-Latency Odometry for Spinning Lidars

LLOL: Low-Latency Odometry for Spinning Lidars

シェア:XThreadsFacebookLINEはてブBluesky

著者: Chao Qu, Shreyas S. Shivakumar, Wenxin Liu, Camillo J. Taylor

分類: cs.RO

原文アブストラクト

In this paper, we present a low-latency odometry system designed for spinning lidars. Many existing lidar odometry methods wait for an entire sweep from the lidar before processing the data. This introduces a large delay between the first laser firing and its pose estimate. To reduce this latency, we treat the spinning lidar as a streaming sensor and process packets as they arrive. This effectively distributes expensive operations across time, resulting in a very fast and lightweight system with much higher throughput and lower latency. Our open-source implementation is available at \url{https://github.com/versatran01/llol}.