English(EN) SSC-Priors: Exploring Semantic and Visibility Priors to Boost Lidar Semantic Scene Completion

新的SSC-Priors方法提升了激光雷达语义场景补全性能

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-16 04:00

研究人员推出了一种名为SSC-Priors的方法，可在无需复杂架构变更的情况下提升激光雷达语义场景补全（SSC）的性能。该方法利用现有分割器的语义伪标签和传感器可见性信息作为SSC网络的附加输入。这些先验信息显著提升了性能，使得旧模型在SemanticKITTI和SSCBench-nuScenes等基准测试中能够与最先进的系统相媲美。 AI

影响增强了基于激光雷达的场景理解能力，可能改进自动驾驶和机器人感知系统。

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Tetiana Martyniuk, Jonathan Seele, Alexandre Boulch, Gilles Puy, Renaud Marlet, Raoul de Charette · 2026-09-16 04:00

SSC-Priors：探索语义和可见性先验以增强 Lidar 语义场景补全

arXiv:2609.17413v1 Announce Type: new Abstract: This paper investigates easy strategies to boost the performance of existing networks for lidar semantic scene completion (SSC) without requiring complex architectural redesigns. The fact is that, over the last years, SSC methods ha…

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SSC-Priors：探索语义和可见性先验以增强 Lidar 语义场景补全

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