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        <identifier>oai:figshare.com:article/33834280</identifier>
        <datestamp>2026-09-16T08:35:58Z</datestamp>
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          <dc:title>Cooperative Driving Dataset (CODD)</dc:title>
          <dc:creator>Eduardo Arnold (24915820)</dc:creator>
          <dc:subject>Automobiles -- Automatic control</dc:subject>
          <dc:subject>Electronics in transportation</dc:subject>
          <dc:subject>Mobile communication systems</dc:subject>
          <dc:subject>Optical radar</dc:subject>
          <dc:subject>Migrated from ePrints</dc:subject>
          <dc:description>The Cooperative Driving dataset is a synthetic dataset generated using [CARLA](https://github.com/carla-simulator/carla) that contains lidar data from multiple vehicles navigating simultaneously through a diverse set of driving scenarios. This dataset was created to enable further research in multi-agent perception (cooperative perception) including cooperative 3D object detection, cooperative object tracking, multi-agent SLAM and point cloud registration. Towards that goal, all the frames have been labelled with ground-truth sensor pose and 3D object bounding boxes.  This document details the organisation of the dataset, including its data sctructure. The [official code repository](https://github.com/eduardohenriquearnold/CODD) provides code to visualise the data as well as the code used to create the dataset, allowing users to customly create their own custom version of the dataset.</dc:description>
          <dc:date>2021-11-23T00:00:00Z</dc:date>
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