Acoustic localization of vehicular sources using distributed sensors

Area of Science:

• Acoustics
• Signal Processing
• Robotics & Autonomous Systems

Background:

• Unattended passive acoustic sensors are crucial for monitoring ground vehicle activity.
• Accurate localization of ground vehicles relies on processing acoustic signatures.
• Existing methods face challenges with noisy direction of arrival (DoA) data.

Purpose of the Study:

• To develop and evaluate robust methods for ground vehicle localization using acoustic signatures.
• To compare the effectiveness of various target localization techniques.
• To address the issue of large DoA errors and outliers in real-world acoustic data.

Main Methods:

• Utilizing acoustic signatures from distributed sensor clusters to estimate direction of arrival (DoA).
• Implementing and comparing established target localization algorithms.
• Proposing a novel robust source localization method independent of vehicle dynamical models.

Main Results:

• The proposed method demonstrates effectiveness in handling DoA errors and outliers.
• Performance comparison of different localization techniques using synthesized and real-world data.
• Successful estimation of location and velocity for moving ground sources.

Conclusions:

• The developed robust localization method enhances accuracy in challenging acoustic environments.
• The study provides a valuable comparison of existing and novel acoustic localization techniques.
• This research contributes to improved ground vehicle tracking and monitoring capabilities.