This paper presents motion prediction model of cyclist based on potential field for a hazard-anticipatory collision avoidance braking system to enhance the collision avoidance performance and secure the smoothness of driving.The target situation is chosen as the scene that a cyclist overtakes a pedestrian or another slowcyclist based on the traffic
Research shows that children with Attention Deficit/Hyperactivity Disorder are at elevated risk of 5.45/5CRV criminality.However, several issues still need to be addressed in order to verify whether hyperactivity in itself plays a role in the prediction of criminality.In particular, co-occurrence with other behaviors as well as the internal heterog
Abstract Named Entity Recognition (NER) is a fundamental task in processing biomedical text.Due to the limited availability of labeled data, researchers have investigated few-shot learning methods to tackle this challenge.However, replicating the performance of fully supervised methods remains difficult in few-shot scenarios.This paper Texturizer a
This study investigated the unsteady acceleration aerodynamics of bluff bodies through the study of a channel mounted square cylinder undergoing free-stream acceleration of ± 20 m / s 2 with Reynolds numbers spanning 3.2e4 to 3.6e5.To achieve this, a numerical simulation was created with a commercial finite volume unstructured computational fl
Aircraft detection has attracted increasing attention in the field of remote sensing image analysis.Complex background, illumination change and variations of aircraft kind and size in remote sensing images make the task challenging.In our work, we propose an effective aircraft detection framework based on reinforcement learning and Socks a convolut