Open Source
Everything the lab has released publicly.
Datasets8
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MARS In collaboration with the self-driving company May Mobility, we present the MARS dataset which unifies scenarios that enable multiagent, multitraversal, and multimodal autonomous vehicle research. - SSC Bench Semantic scene completion (SSC) is crucial for holistic 3D scene understanding by jointly estimating semantics and geometry from sparse observations. We introduce SSCBench, a comprehensive benchmark that integrates scenes from widely-used automotive datasets (e.g., KITTI-360, nuScenes, and Waymo).
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NYU-VPR Composed of images recorded in Manhattan, New York from April 2016 to March 2017. The images were recorded by cameras installed on the front, back, and side parts of taxis with auto-exposure. -
V2X-Sim A Virtual Collaborative Perception Dataset and Benchmark for Autonomous Driving -
SNAC Simultaneous Navigation and Construction Benchmarking Environments -
RealCity3D A Large-scale Georeferenced 3D Shape Dataset of Real-world Cities -
SPARE3D Contains three types of 2D-3D reasoning tasks on view consistency, camera pose, and shape generation, with increasing difficulty -
EgoPAT3D An Egocentric Action Target Prediction Dataset