Egocentric Pedestrian Trajectory Prediction

Pedestrian trajectory prediction is one of the important research topics for autonomous vehicles. Many factors such as Pedestrians' actions and waypoints in the scene can affect the pedestrians' routes. Currently, most researches focus on predicting trajectories in Bird's Eye View (BE...

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Bibliographic Details
Main Authors: Fadillah, Amar, Lee, Ching-Lin, Wang, Zhi-Xuan, Lai, Kuan-Ting
Format: Conference Proceeding
Language:English
Subjects:
autonomous cars
Cameras
Ego-centric
Laser radar
Object detection
Pedestrian
Pedestrians
Prediction algorithms
Radar tracking
Trajectory
Online Access:Request full text
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Summary:Pedestrian trajectory prediction is one of the important research topics for autonomous vehicles. Many factors such as Pedestrians' actions and waypoints in the scene can affect the pedestrians' routes. Currently, most researches focus on predicting trajectories in Bird's Eye View (BEV), which limits the application in monocular cameras. In this paper, we propose to combine BEV trajectory prediction with deterministic tracking method and create a new egocentric algorithm for predicting pedestrian trajectories. Experiment results showed that our method can accurately predict pedestrian trajectories in egocentric scenes.
ISSN:2575-8284
DOI:10.1109/ICCE-Taiwan58799.2023.10226764