Datasets & Competitions
This is the dataset for paper VI-BEVSEG training and testing. For more details about the dataset structure, please refer to Nuscense or V2X-Sim. We only use the number 1 vehicle in the V2X-Sim dataset. Replace the folder in this dataset, and only keep the vehicle 1 six onboard cameras information, infrastructure camera information and their semantic camera information in 'sweeps' and 'samples' folder. Then replace the 'v1.0-trainval' folder with ours and put the h5 maps under V2X-Sim folder.
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This is the dataset for paper VI-BEVSEG training and testing. This dataset mostly inherits from V2X-Sim dataset. Follow the same dataset structure as the V2X-Sim dataset. Follow the V2X-Sim instruction to use. The only change we made is adding some 'h5' ground truth semantic maps. And we only keep the vehicle 1 camera information and infrastructure camera information.
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The data comes from V2X-Sim full dataset. We keep vehicle onboard camera data, LiDAR data and infrastructure data in V2X-Sim. It encompasses a comprehensive and well-
synchronized collection of both infrastructure and vehicle sensor data. It also contains well-annotated ground truth data,which can support multiple perception tasks such as
detection, segmentation, and tracking. It includes six views of vehicle-side images and four views of infrastructure-side images. It collects 100 scenes in total, and every
scene includes 100 records.
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