A Random Finite Set Sensor Control Approach for Vision-based Multi-object Search-While-Tracking-Reference-Cited by-同舟云学术

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A Random Finite Set Sensor Control Approach for Vision-based Multi-object Search-While-Tracking

Published:2021-11-01 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 24th International Conference on Information Fusion (FUSION)
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Author:

LeGrand Keith A.,Zhu Pingping,Ferrari Silvia

Funder

Office of Naval Research

National Nuclear Security Administration

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9626828/9626830/09626898.pdf?arnumber=9626898

Reference29 articles.

1. Probabilistic objective functions for sensor management

2. Multi-agent informed path planning using the probability hypothesis density

3. Search-Detect-Track Sensor Allocation for Geosynchronous Space Objects

4. Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Objects

5. Sensor Management for Search and Track Using the Poisson Multi-Bernoulli Mixture Filter

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DB-Tracker: Multi-Object Tracking for Drone Aerial Video Based on Box-MeMBer and MB-OSNet;Drones;2023-09-27

2. Hölder Divergence-Based Reward Function for Poisson RFSs and Application to Multitarget Sensor Management;IEEE Sensors Journal;2023-05-01

3. Multi-Sensor Control for Jointly Searching and Tracking Multi-Target Using the Poisson Multi-Bernoulli Mixture Filter;2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS);2022-11-21

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