cff-version: 1.2.0 abstract: "

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.

" authors: - family-names: Schulz given-names: Yannick - family-names: Kini Mattar given-names: Avinash - family-names: Hehn given-names: Thomas - family-names: Kooij given-names: Julian orcid: "https://orcid.org/0000-0001-9919-0710" title: "OVAD - Occluded Vehicle Acoustic Detection dataset" keywords: version: 1 identifiers: - type: doi value: 10.4121/07c5956a-fd5f-411f-9b4e-ffe7eb7dec5f.v1 license: CC BY-NC-SA 4.0 date-released: 2024-10-08