LLOL: Low-Latency Odometry for Spinning Lidars
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Abstract (arXiv)
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 urlhttps://github.com/versatran01/llol.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 4 Oct 2021.
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Citing papers per year: 2022: 1.
1 paper.