# Multi-Bernoulli Sensor-Control via Minimization of Expected Estimation Errors

arXiv: https://arxiv.org/abs/1503.07276 · HTML: https://mlsanity.com/paper/1503.07276/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 Mar 2015.

## Built on by (most cited first, 1 of 1)

- [Interaction-Aware Labeled Multi-Bernoulli Filter](https://mlsanity.com/paper/2204.08655/) (2022)

## Abstract (arXiv)

This paper presents a sensor-control method for choosing the best next state of the sensor(s), that provide(s) accurate estimation results in a multi-target tracking application. The proposed solution is formulated for a multi-Bernoulli filter and works via minimization of a new estimation error-based cost function. Simulation results demonstrate that the proposed method can outperform the state-of-the-art methods in terms of computation time and robustness to clutter while delivering similar accuracy.