Enhancing Pedestrian Tracking in Autonomous Vehicles by Using Advanced Deep Learning Techniques

Enhancing Pedestrian Tracking in Autonomous Vehicles by Using Advanced Deep Learning Techniques

Effective collision risk reduction in autonomous vehicles relies on robust and straightforward pedestrian tracking. Challenges posed by occlusion and switching scenarios significantly impede the reliability of pedestrian tracking. In the current study, we strive to enhance the reliability and also t...

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Bibliographic Details
Main Authors: Majdi Sukkar, Madhu Shukla, Dinesh Kumar, Vassilis C. Gerogiannis, Andreas Kanavos, Biswaranjan Acharya
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Information
Subjects:
pedestrian tracking
object detection
multi-object tracking (MOT)
autonomous vehicles
deep learning
DeepSORT
Online Access:https://www.mdpi.com/2078-2489/15/2/104

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