6 天前 - … enhances the accuracy of trajectory predictions in complex driving conditions,
contributing to the advancement of driver assistance systems and autonomous vehicles. …

7 天前 - … robots and autonomous vehicles through path … predict the future tracking of the
features. The feature numbers for each image region are reassigned according to the predicted …

8 天前 - … Abstract: The autonomous vehicle lane change maneuvers are an intricate task that
… This research paper investigates lane change maneuvers of autonomous vehicle, utilizing …

9 天前 - … Fuzzy Inference System) to predict the actuator response in … predict the bowthruster
speed for guarding the post with an RMSE of 1.6169%, while the ANFIS model for predicting …

10 天前 - … many crossing predictions are predicted correctly, making it the most important
safety metric. Although an overly high recall could also suggest the model is predicting all cases …

10 天前 - … of intelligent vehicles. A precise and dependable vehicle trajectory prediction
algorithm … Currently, trajectory prediction in the context of autonomous vehicles is mainly driven …

12 天前 - … Another study of SDS operations was conducted as part of the larger autonomous
vehicle initiative conducted by Ohio State University. The study showed that a combination of …

12 天前 - … among neighboring vehicles. Accurately describing and predicting lane changing
behavior is critical for the successful implementation of autonomous vehicles. Although …

12 天前 - … necessitating extensive implementation endeavors. In response, we propose
Gaussian Lane Keeping (GLK), a robust prediction method for autonomous vehicles that can …

13 天前 - … In this work, we present the development and implementation of a coupled soil …
The vegetation model uses stored carbohydrates to predict growth cycles and takes multiple …