# ASPED: An Audio Dataset for Detecting Pedestrians

arXiv: https://arxiv.org/abs/2309.06531 · HTML: https://mlsanity.com/paper/2309.06531/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Sep 2023.

## Built on by (most cited first, 3 of 3)

- [Understanding Pedestrian Movement Using Urban Sensing Technologies: The Promise of Audio-based Sensors](https://mlsanity.com/paper/2406.09998/) (2024)
- [Audio-Based Pedestrian Detection in the Presence of Vehicular Noise](https://mlsanity.com/paper/2509.19295/) (2025)
- [Cross-Modal Knowledge Distillation for Acoustic Pedestrian Detection](https://mlsanity.com/paper/2609.31785/) (2026)

## Abstract (arXiv)

We introduce the new audio analysis task of pedestrian detection and present a new large-scale dataset for this task. While the preliminary results prove the viability of using audio approaches for pedestrian detection, they also show that this challenging task cannot be easily solved with standard approaches.