Semantic Point Cloud-Based Adaptive Multiple Object Detection and Tracking for Autonomous Vehicles

Semantic Point Cloud-Based Adaptive Multiple Object Detection and Tracking for Autonomous Vehicles

LiDAR-based Multiple Object Detection and Tracking (MODT) is one of the essential tasks in autonomous driving. Since MODT is directly related to the safety of an autonomous vehicle, it is critical to provide reliable information about the surrounding objects. For that reason, we propose a semantic p...

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Bibliografische gegevens
Hoofdauteurs:	Soyeong Kim, Jinsu Ha, Kichun Jo
Formaat:	Artikel
Taal:	English
Gepubliceerd in:	IEEE 2021-01-01
Reeks:	IEEE Access
Onderwerpen:	Semantic point cloud point cloud semantic segmentation multiple object detection and tracking (MODT) class-adaptive tracking autonomous vehicle LiDAR
Online toegang:	https://ieeexplore.ieee.org/document/9627603/

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