OVAD - Occluded Vehicle Acoustic Detection dataset

Acoustic multi-microphone dataset (plus video) from the paper "Hearing What You Cannot See: Acoustic Vehicle Detection Around Corners" (IEEE Robotics and Automation Letters 2021, see DOI: 10.1109/LRA.2021.3062254 and arxiv). For a short and intuitive introduction of our main ideas and online prediction results, we recommend to watch our supplementary video on Youtube: Hearing What You Cannot See.<br>We present a data-driven acoustic detection method that can detect an approaching vehicle before it enters line-of-sight, e.g. while hidden behind a blind corner, in real-world outdoor conditions. The code can be found at github.com/tudelft-iv/occluded_vehicle_acoustic_detection .<br>As part of this publication, we provide a novel audio-visual dataset (OVAD - occluded vehicle acoustic detection) collected in outdoor urban environments with a 56-microphone array mounted on our research vehicle.声学多麦克风数据集（含配套视频）源自论文《听见你无法看见：拐角处的声学车辆检测》（发表于2021年《IEEE机器人与自动化快报》，DOI：10.1109/LRA.2021.3062254，亦可在arxiv平台获取预印本。如需简洁直观地了解本研究的核心思路与在线预测结果，推荐观看我们在YouTube上的补充视频：《听见你无法看见》。<br>本研究提出了一种数据驱动的声学检测方法，可在真实户外场景中，于车辆进入视距范围前（例如当车辆被盲角遮挡时）检测到驶来的车辆。相关代码可于github.com/tudelft-iv/occluded_vehicle_acoustic_detection获取。<br>作为本研究成果的一部分，我们公开了一款全新的音视频数据集（OVAD - 遮挡车辆声学检测数据集，Occluded Vehicle Acoustic Detection），该数据集由安装在研究车辆上的56麦克风阵列在户外城市环境中采集得到。

搜集汇总

背景与挑战

背景概述

OVAD数据集是一个用于遮挡车辆声学检测的音频-视觉数据集，专注于在户外城市环境中通过56个麦克风阵列采集多通道音频和视频数据，以检测视线外的车辆（如盲角后）。该数据集支持机器学习和人工智能研究，旨在实现实时车辆检测，并基于论文“Hearing What You Cannot See”的相关工作，适用于交通和机器人领域。