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Audi releases A2D2 autonomous driving dataset with sensor data

Audi has released the Audi Autonomous Driving Dataset (A2D2), a comprehensive collection of sensor data for autonomous driving research. The dataset includes synchronized images, 3D point clouds, and various annotations such as semantic segmentation and 3D bounding boxes. It also features unannotated sequential data from three German cities. To comply with GDPR, faces and vehicle number plates are blurred, and the dataset is available under a Creative Commons license. AI

IMPACT Provides a valuable resource for researchers in machine learning, robotics, and autonomous driving.

RANK_REASON The item is an academic paper describing a dataset release. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

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Audi releases A2D2 autonomous driving dataset with sensor data

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The item is an academic paper describing a dataset release. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Jakob Geyer, Yohannes Kassahun, Mentar Mahmudi, Xavier Ricou, Rupesh Durgesh, Andrew S. Chung, Lorenz Hauswald, Viet Hoang Pham, Maximilian M\"uhlegg, Sebastian Dorn, Tiffany Fernandez, Martin J\"anicke, Sudesh Mirashi, Chiragkumar Savani, Martin Sturm, … ·

    A2D2: Audi Autonomous Driving Dataset

    arXiv:2004.06320v2 Announce Type: replace Abstract: Research in machine learning, mobile robotics, and autonomous driving is accelerated by the availability of high quality annotated data. To this end, we release the Audi Autonomous Driving Dataset (A2D2). Our dataset consists of…