Abstract
An algorithm for the robust localization of a vehicle using both displacement tracking and sound localization is proposed. The displacement tracking is performed by optical encoders that enable the turn angle and the movement distance of the vehicle to be estimated. The sound localization utilizes a speaker mounted on the vehicle and an array of 24 microphones deployed in the environment. The two modalities are integrated by modeling the displacement tracking uncertainty by a Gaussian Mixture Model (GMM) and combining it with the probability distribution obtained from the sound localization system. It is shown that the proposed integrated system results in an average localization error (at best 11cm) that is better than either modality alone.
| Original language | English (US) |
|---|---|
| Title of host publication | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Volume | 5 |
| State | Published - 2004 |
| Externally published | Yes |
| Event | Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada Duration: May 17 2004 → May 21 2004 |
Other
| Other | Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing |
|---|---|
| Country/Territory | Canada |
| City | Montreal, Que |
| Period | 5/17/04 → 5/21/04 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Signal Processing
- Acoustics and Ultrasonics