RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Models Two use cases have been implemented following the proposed approach: 1) Prediction of pedestrians' crossing actions; 2) Prediction of lane change maneuvers... MM Hussien,AN ...
the preliminaries of path planning problem are presented in Section III. Section IV describes the data generation method and the proposed GAN model for promising region prediction. In Section V, we conduct a series of simulation experiments
Pedestrians are also detected using deep learning, reducing the likelihood of an accident. (14) G=(I+1)g×∑max2(g).G=(I+1)g×∑max2(g).Equation (14) says GG for recurrent network analysis, II for the interpretable model, max2max2 for maximum for providing information, and gg for...
This work proposes an improved pedestrian social force model for pedestrian trajectory prediction to prevent intelligent vehicles from colliding with pedestrians while driving on the road. In this model, the intelligent vehicle performs motion planning o
This method can effectively filter the noise to reduce the error of prediction. The method can effectively predict the traffic flow in the short-term and long-term. However, all the above methods train and calculate the historical data. In the emergency scenario, the existing traffic flow ...
However, there exists some application problems in complex and dense obstacle environments for DWA: (1) Robots may approach obstacles during traveling. When encountering pedestrians or moving objects, the safety and humanization of the robots may be reduced and collisions occur. (2) The weights of...
In a daily parking environment, moving objects such as pedestrians and vehicles can cause interference in the parking motion; therefore, subsequent research should focus on the dynamic obstacle-avoidance function. Author Contributions Conceptualization, J.S. and C.P.; Data curation, L.C.; Formal ...
Ecosystems provide many benefits to human and non-human life. These benefits, which occur for free as part of the natural processes within ecosystems, are collectively termed ecosystem services [1,2]. Regulatory ecosystem services are crucial in reducing the impacts of climate change on cities and...
Bamaqa [16] decomposes crowd flow data by singular value decomposition for anomaly detection. In traffic accident prediction, Barba [17] proposed a new time series prediction strategy based on singular value decomposition used to obtain the matrix’s low and high-frequency data, which can provide...
Emergency evacuation time model of nuclear power plant pedestrians. Prog. Nucl. Energy 2023, 157, 104565. [Google Scholar] [CrossRef] Zhao, J.Q.; Mao, M.Z.; Xie, B.L. A nuclear emergency partition evacuation framework based on comprehensive risk assessment. Int. J. Disaster Risk Reduct...