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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Hlavní autoři:	Sushil Sharma, Arindam Das, Ganesh Sistu, Mark Halton, Ciaran Eising
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Open Journal of Vehicular Technology
Témata:	Sensor fusion encoder-decoder transformer bird's-eye-view semantic segmentation, multi-agent trajectory prediction
On-line přístup:	https://ieeexplore.ieee.org/document/11016806/
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