Description
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.
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.
| Date made available | 8 Oct 2024 |
|---|---|
| Publisher | TU Delft - 4TU.ResearchData |
Research output
- 1 Article
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Hearing What You Cannot See: Acoustic Vehicle Detection Around Corners
Schulz, Y., Mattar, A. K., Hehn, T. & Kooij, J., 2021, In: IEEE Robotics and Automation Letters. 6, 2, p. 2587-2594Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile32 Link opens in a new tab Citations (Scopus)384 Downloads (Pure)
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