3D LiDAR Multi-Object Tracking Using Multi Positive Contrastive Learning and Deep Reinforcement Learning

3D LiDAR Multi-Object Tracking Using Multi Positive Contrastive Learning and Deep Reinforcement Learning

Due to its precise distance measurement capabilities, 3D LiDAR is a critical sensor in autonomous systems, including autonomous vehicles and self-driving robots. It plays a key role in Multi-Object Tracking (MOT). Current MOT methods typically employ a Tracking-by-Detection(TbD) approach, where obje...

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Bibliographic Details
Main Authors: Minho Cho, Euntai Kim
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
3D LiDAR
multi-object tracking
contrastive learning
reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/10812747/
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https://ieeexplore.ieee.org/document/10812747/

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