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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Podrobná bibliografie
Hlavní autoři: Soyeong Kim, Jinsu Ha, Kichun Jo
Médium: Článek
Jazyk:English
Vydáno: IEEE 2021-01-01
Edice:IEEE Access
Témata:
Semantic point cloud
point cloud semantic segmentation
multiple object detection and tracking (MODT)
class-adaptive tracking
autonomous vehicle
LiDAR
On-line přístup:https://ieeexplore.ieee.org/document/9627603/

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