Recent advances in conventional and deep learning-based depth completion: A survey

Z Xie, X Yu, X Gao, K Li, S Shen - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
Depth completion aims to recover pixelwise depth from incomplete and noisy depth
measurements with or without the guidance of a reference RGB image. This task attracted …

STHAN: Transportation demand forecasting with compound spatio-temporal relationships

S Ling, Z Yu, S Cao, H Zhang, S Hu - ACM Transactions on Knowledge …, 2023 - dl.acm.org
Transportation demand forecasting is a critical precondition of optimal online transportation
dispatch, which will greatly reduce drivers' wasted mileage and customers' waiting time …

Dear: vehicle mobility prediction using diffusion-expanded attention network based on IoV trajectory data

J Yang, K Yang, F Zeng, Q Cheng, Z Xiao… - Neural Computing and …, 2024 - Springer
In recent years, the rapid development of vehicle networking technology makes the
acquisition of Internet of vehicles (IoV) trajectory data easier and more extensive. Mobility …