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A two-stage data association approach for 3D Multi-object Tracking

A two-stage data association approach for 3D Multi-object Tracking

21 January 2021
Minh-Quan Dao
Vincent Frémont
    3DPCVOT
ArXiv (abs)PDFHTML

Papers citing "A two-stage data association approach for 3D Multi-object Tracking"

5 / 5 papers shown
Title
Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing
Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing
Phillip Karle
F. Fent
Sebastian Huch
Florian Sauerbeck
Markus Lienkamp
107
34
0
12 Oct 2023
3D Multiple Object Tracking on Autonomous Driving: A Literature Review
3D Multiple Object Tracking on Autonomous Driving: A Literature Review
Peng Zhang
Xin Li
Liang He
Xinhua Lin
83
4
0
27 Sep 2023
You Only Need Two Detectors to Achieve Multi-Modal 3D Multi-Object
  Tracking
You Only Need Two Detectors to Achieve Multi-Modal 3D Multi-Object Tracking
Xiyang Wang
Chun-yan Fu
Jiawei He
Mingguang Huang
Ting Meng
Siyu Zhang
Hangning Zhou
Ziyao Xu
Chi Zhang
VOT
109
19
0
18 Apr 2023
Online panoptic 3D reconstruction as a Linear Assignment Problem
Online panoptic 3D reconstruction as a Linear Assignment Problem
Leevi Raivio
Esa Rahtu
3DV
51
1
0
01 Apr 2022
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with
  Multi-Feature Learning
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning
Xinshuo Weng
Yongxin Wang
Yunze Man
Kris Kitani
3DPCVOT
90
218
0
12 Jun 2020
1