Research efforts are spent on the put-forward overall picture of location prediction through trajectory data. This survey offers an extensive overview of location prediction enveloping basic definitions and con
Most of the traditional methods that are suitable for trajectory prediction involve constructing motion models by regression and fitting. The predictor based on the constructed motion model mainly considers the current motion of the moving object, such as the speed and direction, and fits with the ...
Comparison to other survey papers. There are some previously published works focusing on the topic of mobility trajectory data generation. One of the early surveys on this topic is Harri et al. (2009). This work mainly presents a framework to introduce vehicle mobility models, which can be use...
[7].E. Arnold, O.Y. Al-Jarrah, M. Dianati, S. Fallah, D. Oxtoby, and A. Mouzakitis, “A survey on3d object detection methods for autonomous driving applications,” IEEETransactions on Intelligent Transportation Systems, 2019. [8].Y. Guo, H.Wang, Q. Hu, H. Liu, L. Liu, and M...
原论文:A novel MP-LSTM method for ship trajectory prediction based on AIS data - ScienceDirect 论文介绍:GoogleScholar引用107 Ocean Engineering 工程技术大类2区(中科院) 总结: 对比实验很详细,但是…
Thus, our work concentrates on the trajectory prediction of the preceding or adjacent vehicle from the ego vehicle perspective. To date, some researchers have dedicated themselves to vehicle trajectory prediction. In terms of approaches primarily applied in this research area, the current methods can ...
Fast Prediction on Short-Term Reconsumption Behaviors POI [2020][meituan][STGCN] STGCN - A Spatial-Temporal Aware Graph Learning Method for POI Recommendation A Survey on Deep Learning Based Point-Of-Interest (POI) Recommendations A Survey on Point-of-Interest Recommendations Leveraging ...
Trajectory data mining: A review of methods and applications [paper] A survey on trajectory clustering analysis [paper] Trajectory data classification: A review [paper] A comprehensive survey on trajectory-based location prediction [paper] A survey on trajectory data management, analytics, and learning...
and integration of these capabilities into smart home IoT devices. The findings of this study have emphasized the potential of deep learning approaches to enhance security and privacy in smart homes. A comprehensive survey on IoT security, including communication security, application interface security,...
and methods of evaluation. Drawing from a wealth of previous studies, we identify various challenges in this field and discuss potential future directions. We expect that our survey can provide newcomers of LLM-based autonomous agents with a comprehensive background knowledge, and also encourage furth...