TY - DATA T1 - OVAD - Occluded Vehicle Acoustic Detection dataset PY - 2024/10/08 AU - Yannick Schulz AU - Avinash Kini Mattar AU - Thomas Hehn AU - Julian Kooij UR - DO - 10.4121/07c5956a-fd5f-411f-9b4e-ffe7eb7dec5f.v1 KW - microphone array KW - self driving KW - robotics KW - audio KW - acoustics KW - traffic sound KW - vehicle sound KW - beam forming KW - machine learning KW - multi-channel sound N2 -
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.
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 .
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.
ER -