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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Bibliographic Details
Main Authors: Soyeong Kim, Jinsu Ha, Kichun Jo
Format: article
Language:EN
Published: IEEE 2021
Subjects:
Semantic point cloud
point cloud semantic segmentation
multiple object detection and tracking (MODT)
class-adaptive tracking
autonomous vehicle
LiDAR
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Online Access:https://doaj.org/article/a2b6e3daa5454c0ba9d4d25f32e31a1b
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https://doaj.org/article/a2b6e3daa5454c0ba9d4d25f32e31a1b

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