[CVPR2024]“RCooper:路边协作感知的真实大规模数据集”的官方实现
roadside-perception 开源项目推荐(10 个)
roadside-perception 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 10
GitHub 共 10 个仓库,已全部展示[IROS2023] Calibration-free BEV Representation for Infrastructure Perception
[ECCV 2024] RoScenes: A large-scale multi-view 3d dataset for roadside perception
Target-level monocular depth estimation tool from roadside perspectives
Current BEV methods face two major limitations: height prediction relies solely on cameras, leading to inherently unstable and non-robust estimates; sensor calibration errors cause feature misalignment in BEV space, degrading fusion performance. To overcome these issues, we propose GeoHeightBEV, a multimodal roadside BEV perception framework.
Official repository of "Deep segmentation of 3+1D radar point cloud for real-time roadside traffic user detection", published in Nature Scientific Reports.
Vehicle trajectory reconstruction from fixed roadside cameras for identifying autonomous vs human-driven vehicles. Extends BEVHeight with self-calibration, multi-object tracking and trajectory smoothing.
Roadside camera-LiDAR 3D perception for intersection safety: a new intersection dataset and the GRIP-Fusion detector
Reference Python reader and Protobuf schema for HighwayScene records
Beam-wise statistical background subtraction for static roadside LiDAR.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 10 个项目;原始页面见 https://github.com/topics/roadside-perception。
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- 当前 10 个项目累计 220 Star,覆盖 1 种主要语言,数据更新于 2026-11-07。
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