Litcius/Paper detail

STM-GCN: a spatiotemporal multi-graph convolutional network for pedestrian trajectory prediction

Youssef Taki, El Moukhtar Zemmouri, Anas Bouzid

2023The Journal of Supercomputing20 citationsDOI

Topics & Concepts

Computer scienceBenchmarkingGraphPedestrianTrajectoryConvolutional neural networkArtificial intelligenceMachine learningDeep learningData miningTheoretical computer scienceTransport engineeringPhysicsAstronomyMarketingBusinessEngineeringAutonomous Vehicle Technology and SafetyTraffic and Road SafetyVideo Surveillance and Tracking Methods
STM-GCN: a spatiotemporal multi-graph convolutional network for pedestrian trajectory prediction | Litcius