ST‐SIGMA: Spatio‐temporal semantics and interaction graph aggregation for multi‐agent perception and trajectory forecasting

ST‐SIGMA: Spatio‐temporal semantics and interaction graph aggregation for multi‐agent perception and trajectory forecasting

Abstract Scene perception and trajectory forecasting are two fundamental challenges that are crucial to a safe and reliable autonomous driving (AD) system. However, most proposed methods aim at addressing one of the two challenges mentioned above with a single model. To tackle this dilemma, this pap...

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Bibliographic Details
Main Authors: Yang Fang, Bei Luo, Ting Zhao, Dong He, Bingbing Jiang, Qilie Liu
Format: Article
Language:English
Published: Wiley 2022-12-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
feature fusion
graph interaction
hierarchical aggregation
scene perception
scene semantics
trajectory forecasting
Online Access:https://doi.org/10.1049/cit2.12145

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