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Spatio-temporal graph neural networks for predictive learning in urban computing: A survey
With recent advances in sensing technologies, a myriad of spatio-temporal data has been
generated and recorded in smart cities. Forecasting the evolution patterns of spatio-temporal …
generated and recorded in smart cities. Forecasting the evolution patterns of spatio-temporal …
[HTML][HTML] A review of deep learning-based vehicle motion prediction for autonomous driving
R Huang, G Zhuo, L **
autonomous driving systems. However, mitigating the gap between simulation and reality is …
autonomous driving systems. However, mitigating the gap between simulation and reality is …
Hybrid-Prediction Integrated Planning for Autonomous Driving
Autonomous driving systems require a comprehensive understanding and accurate
prediction of the surrounding environment to facilitate informed decision-making in complex …
prediction of the surrounding environment to facilitate informed decision-making in complex …