Panoramic Multimodal Semantic Occupancy Prediction for Quadruped Robots
四足机器人全景多模态语义占用预测
机构 * School of Artificial Intelligence and Robotics, Hunan University(湖南大学人工智能与机器人学院)
专题命中 BEV与占用 :occupancy(title,abstract);autonomous driving(abstract);分类 cs.RO、cs.CV、eess.IV
AI总结 本文提出PanoMMOcc数据集和VoxelHound框架,通过垂直抖动补偿和多模态信息融合提升四足机器人全景多模态3D感知性能。
Comments The dataset and code will be publicly released at https://github.com/SXDR/PanoMMOcc