Acoustic Vehicle Localization

While on a busy street or rural roads, pedestrians wearing headphones are exposed to danger from passing traffic. This project is a first stage in developing a system that will detect an approaching vehicle, alert the user of the danger of a vehicle in the vicinity and in addition, will alert its direction and distance.
We dealt with determination of the direction of the vehicle in relation to the pedestrian along its trajectory based on the time differences between microphones. Next, we experimented with estimating the distance of the vehicle using machine learning. Finally, we have built an algorithm and a demo system that simulate data processing from microphones in real time.
The project was based on a previous study by research group from Columbia University in New York. The database from that study was used, especially the experiments’ recordings. In the experiments they recorded a vehicle passing in front of an array of microphones.

Demonstration of the system: