EagerMOT: 3D Multi-Object Tracking via Sensor Fusion

2019 ◽

Vol 25 (6) ◽

pp. 551-556

Author(s):

Jungwook Han ◽

Yonghoon Cho ◽

Jinwhan Kim ◽

Philyeob Lee

Keyword(s):

Object Tracking ◽

Sensor Fusion ◽

Target Object ◽

Fusion Methods

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Object Tracking with a Novel Visual-Thermal Sensor Fusion Method in Template Matching

International Journal of Image Graphics and Signal Processing ◽

10.5815/ijigsp.2019.07.03 ◽

2019 ◽

Vol 11 (7) ◽

pp. 39-47

Author(s):

Satbir Singh ◽

◽

Arun Khosla ◽

Rajiv Kapoor

Keyword(s):

Object Tracking ◽

Sensor Fusion ◽

Template Matching ◽

Thermal Sensor ◽

Fusion Method

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Bayesian Sensor Fusion Methods for Dynamic Object Tracking—A Comparative Study

Automatika ◽

10.7305/automatika.2014.09.847 ◽

2014 ◽

Vol 55 (4) ◽

pp. 386-398 ◽

Cited By ~ 3

Author(s):

Ivan Marković ◽

Ivan Petrović

Keyword(s):

Comparative Study ◽

Object Tracking ◽

Sensor Fusion ◽

Dynamic Object ◽

Fusion Methods

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Adaptive Multi-Sensor Fusion Based Object Tracking for Autonomous Urban Air Mobility Operations

10.2514/6.2022-0362 ◽

2022 ◽

Author(s):

Thomas Lombaerts ◽

Kimberlee H. Shish ◽

Gordon Keller ◽

Vahram Stepanyan ◽

Nick B. Cramer ◽

...

Keyword(s):

Object Tracking ◽

Sensor Fusion ◽

Urban Air

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Sensor fusion for improved vision based lane recognition and object tracking with range-finders

Proceedings of Conference on Intelligent Transportation Systems ◽

10.1109/itsc.1997.660541 ◽

2002 ◽

Cited By ~ 31

Author(s):

Z. Zomotor ◽

U. Franke

Keyword(s):

Object Tracking ◽

Sensor Fusion ◽

Lane Recognition

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A Collaborative Sensor Fusion Algorithm for Multi-object Tracking Using a Gaussian Mixture Probability Hypothesis Density Filter

2015 IEEE 18th International Conference on Intelligent Transportation Systems ◽

10.1109/itsc.2015.87 ◽

2015 ◽

Cited By ~ 11

Author(s):

Milos Vasic ◽

Alcherio Martinoli

Keyword(s):

Object Tracking ◽

Sensor Fusion ◽

Gaussian Mixture ◽

Fusion Algorithm ◽

Probability Hypothesis Density ◽

Probability Hypothesis Density Filter ◽

Density Filter

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Multiple Object Tracking using Radar and Vision Sensor Fusion for Autonomous Vehicle

2020 IEEE International Conference for Innovation in Technology (INOCON) ◽

10.1109/inocon50539.2020.9298297 ◽

2020 ◽

Author(s):

Kishore Reddy Kurapati ◽

Suma M ◽

Ameet Chavan

Keyword(s):

Object Tracking ◽

Sensor Fusion ◽

Autonomous Vehicle ◽

Multiple Object Tracking ◽

Vision Sensor ◽

Multiple Object

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Camera and LiDAR Sensor Fusion for 3D Object Tracking in a Collision Avoidance System

2021 Zooming Innovation in Consumer Technologies Conference (ZINC) ◽

10.1109/zinc52049.2021.9499281 ◽

2021 ◽

Author(s):

Mila Kotur ◽

Nemanja Lukic ◽

Momcilo Krunic ◽

Zeljko Lukac

Keyword(s):

Object Tracking ◽

Collision Avoidance ◽

Sensor Fusion ◽

3D Object ◽

Collision Avoidance System

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Sequential sensor fusion combining probability hypothesis density and kernelized correlation filters for multi-object tracking in video data

2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) ◽

10.1109/avss.2017.8078517 ◽

2017 ◽

Cited By ~ 18

Author(s):

T. Kutschbach ◽

E. Bochinski ◽

V. Eiselein ◽

T. Sikora

Keyword(s):

Object Tracking ◽

Sensor Fusion ◽

Video Data ◽

Correlation Filters ◽

Probability Hypothesis Density ◽

Kernelized Correlation Filters

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Distributed Sensor Fusion for Object Tracking

RoboCup 2005: Robot Soccer World Cup IX - Lecture Notes in Computer Science ◽

10.1007/11780519_47 ◽

2006 ◽

pp. 504-511 ◽

Cited By ~ 3

Author(s):

Alankar Karol ◽

Mary-Anne Williams

Keyword(s):

Object Tracking ◽

Sensor Fusion ◽

Distributed Sensor

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EagerMOT: 3D Multi-Object Tracking via Sensor Fusion

Comparison of Multi-Sensor Fusion Methods for Maritime Target Object Tracking

Object Tracking with a Novel Visual-Thermal Sensor Fusion Method in Template Matching

Bayesian Sensor Fusion Methods for Dynamic Object Tracking—A Comparative Study

Adaptive Multi-Sensor Fusion Based Object Tracking for Autonomous Urban Air Mobility Operations

Sensor fusion for improved vision based lane recognition and object tracking with range-finders

A Collaborative Sensor Fusion Algorithm for Multi-object Tracking Using a Gaussian Mixture Probability Hypothesis Density Filter

Multiple Object Tracking using Radar and Vision Sensor Fusion for Autonomous Vehicle

Camera and LiDAR Sensor Fusion for 3D Object Tracking in a Collision Avoidance System

Sequential sensor fusion combining probability hypothesis density and kernelized correlation filters for multi-object tracking in video data

Distributed Sensor Fusion for Object Tracking

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