Impact of Perception Errors in Vision-Based Detection and Tracking Pipelines on Pedestrian Trajectory Prediction in Autonomous Driving Systems

Pedestrian trajectory prediction is crucial for developing collision avoidance algorithms in autonomous driving systems, aiming to predict the future movement of the detected pedestrians based on their past trajectories. The traditional methods for pedestrian trajectory prediction involve a sequence...

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Bibliografische gegevens

Hoofdauteurs:	Wen-Hui Chen, Jiann-Cherng Wu, Yury Davydov, Wei-Chen Yeh, Yu-Chen Lin
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2024-08-01
Reeks:	Sensors
Onderwerpen:	autonomous driving trajectory prediction object detection object tracking
Online toegang:	https://www.mdpi.com/1424-8220/24/15/5066
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