In this article, we consider the External Sensor Trajectory Prediction problem for stolen vehicle trajectories. This analysis brings new challenges to the ...
The aim of this project is to predict vehicle stopping distances for various types of braking conditions. A comprehensive vehicle braking model has been ...
Our Dynamic Hard Pruning (DynHP) technique incrementally prunes the network during training, identifying neurons that marginally contribute to the model ...
In this article, we consider the External Sensor Trajectory Prediction problem for stolen vehicle trajectories. This analysis brings new challenges to the ...
Our Dynamic Hard Pruning (DynHP) technique incrementally prunes the network during training, identifying neurons that marginally contribute to the model ...
Bibliographic details on Predicting the Next Location for Trajectories From Stolen Vehicles.
2022. Predicting the next location for trajectories from stolen vehicles. JSDS ... Modeling trajectories obtained from external sensors for location prediction ...
predictions. – The paper “Predicting the Next Location for Trajectories From Stolen Vehicles”(NETO et al., 2021) published at IEEE International Conference ...
Oct 2, 2022 · In this paper, we tackle the representation learning problem for trajectories, using NLP methods to encode external sensors positioned in the road network.
This paper proposes a deep multi-task learning framework to predict the next location from trajectories that are captured by external sensors (e.g., ...