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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Vydáno v:	IEEE open journal of vehicular technology Ročník 6; s. 1551 - 1567
Hlavní autoři:	Sharma, Sushil, Das, Arindam, Sistu, Ganesh, Halton, Mark, Eising, Ciaran
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	IEEE 2025
Témata:	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
On-line přístup:	Získat plný text
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