MMTraP: Multi-Sensor Multi-Agent Trajectory Prediction in BEV

Accurate detection and trajectory prediction of moving vehicles are essential for motion planning in autonomous driving systems. While traffic regulations provide clear boundaries, real-world scenarios remain unpredictable due to the complex interactions between vehicles. This challenge has driven s...

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Bibliographic Details

Published in:	IEEE open journal of vehicular technology Vol. 6; pp. 1551 - 1567
Main Authors:	Sharma, Sushil, Das, Arindam, Sistu, Ganesh, Halton, Mark, Eising, Ciaran
Format:	Journal Article
Language:	English
Published:	IEEE 2025
Subjects:	Accuracy Autonomous vehicles bird's-eye-view Cameras Computer vision encoder-decoder transformer Laser radar Meteorology Motion segmentation multi-agent trajectory prediction Radar semantic segmentation semantic segmentation, multi-agent trajectory prediction Sensor fusion Trajectory
ISSN:	2644-1330, 2644-1330
Online Access:	Get full text
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