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Data generation by deep generative models for testing connected and automated vehicles
ID：6 View Protection：ATTENDEE Updated Time：2022-06-22 08:52:32 Hits：475 Poster Presentation

Start Time：Pending（Asia/Shanghai）

Duration：Pending

Session：No Session »

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Abstract
Connected and automated vehicles (CAVs) are recognized to have the great potential to alleviate traffic congestion and improve traffic safety, and thus be regarded as the direction of future transportation. The assurance of autonomous driving system safety in critical situations is a challenging task, and the testing methods for traditional vehicles can no longer meet the requirements of CAVs. According to assessments, CAVs need at least 240 million kilometers of tests without any accidents to prove th
Keywords
Connected and automated vehicles;Generative adversarial network;Safety performance evaluation
Speaker
烨 李
中南大学

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Important Date

  • Conference Date

    Jul 08

    2022

    to

    Jul 11

    2022

  • Jul 11 2022

    Contribution Submission Deadline

  • Jul 11 2022

    Registration deadline

Sponsored By
Chinese Overseas Transportation Association
Central South University (CSU)
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