Zobrazeno 1 - 5
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pro vyhledávání: '"Li, Jiusi"'
Autor:
Shi, Yining, Jiang, Kun, Wang, Ke, Qian, Kangan, Wang, Yunlong, Li, Jiusi, Wen, Tuopu, Yang, Mengmeng, Xu, Yiliang, Yang, Diange
3D occupancy prediction (Occ) is a rapidly rising challenging perception task in the field of autonomous driving which represents the driving scene as uniformly partitioned 3D voxel grids with semantics. Compared to 3D object detection, grid percepti
Externí odkaz:
http://arxiv.org/abs/2406.07042
Vision-centric occupancy networks, which represent the surrounding environment with uniform voxels with semantics, have become a new trend for safe driving of camera-only autonomous driving perception systems, as they are able to detect obstacles reg
Externí odkaz:
http://arxiv.org/abs/2406.07037
Autor:
Shi, Yining, Jiang, Kun, Li, Jiusi, Qian, Zelin, Wen, Junze, Yang, Mengmeng, Wang, Ke, Yang, Diange
Grid-centric perception is a crucial field for mobile robot perception and navigation. Nonetheless, grid-centric perception is less prevalent than object-centric perception as autonomous vehicles need to accurately perceive highly dynamic, large-scal
Externí odkaz:
http://arxiv.org/abs/2303.01212
Predicting the future occupancy states of the surrounding environment is a vital task for autonomous driving. However, current best-performing single-modality methods or multi-modality fusion perception methods are only able to predict uniform snapsh
Externí odkaz:
http://arxiv.org/abs/2302.09585
Occupancy maps are widely recognized as an efficient method for facilitating robot motion planning in static environments. However, for intelligent vehicles, occupancy of both the present and future moments is required to ensure safe driving. In the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8f300474f1b23d8e443ed0b3eed329a