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

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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Bibliographic Details
Main Authors: Wen-Hui Chen, Jiann-Cherng Wu, Yury Davydov, Wei-Chen Yeh, Yu-Chen Lin
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Sensors
Subjects:
autonomous driving
trajectory prediction
object detection
object tracking
Online Access:https://www.mdpi.com/1424-8220/24/15/5066

Internet

https://www.mdpi.com/1424-8220/24/15/5066

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