UT-V2X-Real-IC

UCF UrbanTwin (UT) dataverse is a collection of high-fidelity synthetic roadside lidar datasets. Each dataset in this dataverse supports core perception tasks in intelligent transportation systems, including 3D object detection, multi-object tracking, semantic segmentation, and instance segmentation. Generated through precise simulation of real-world intersections and sensor settings, these datasets exhibit minimal sim-to-real domain gap and enable the training of deep learning models that perform competitively on real data benchmarks. UT-V2X-Real-IC replicates real data of the sensor located at south-east corner of Westwood Plaza x Charles E Young Dr South intersection, of the original V2X-Real-IC dataset. This intersection is located within the UCLA campus in Los Angeles, California. The synthetic dataset contains six classes including car, van, bus, truck, bicycle, and motorcycle. The dataset contains ~50K points and 14 road-user objects per frame in an 80x80x10 meter^3 region roughly centered at the intersection area, all matching closely to the original dataset.