Web: http://arxiv.org/abs/2206.08194

June 17, 2022, 1:13 a.m. | Romain Loiseau, Mathieu Aubry, Loïc Landrieu

cs.CV updates on arXiv.org arxiv.org

Roof-mounted spinning LiDAR sensors are widely used by autonomous vehicles,
driving the need for real-time processing of 3D point sequences. However, most
LiDAR semantic segmentation datasets and algorithms split these acquisitions
into $360^\circ$ frames, leading to acquisition latency that is incompatible
with realistic real-time applications and evaluations. We address this issue
with two key contributions. First, we introduce HelixNet, a $10$ billion point
dataset with fine-grained labels, timestamps, and sensor rotation information
that allows an accurate assessment of real-time readiness …

algorithm arxiv cv dataset lidar online segmentation

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