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We present a variational technique for finding low curvature smooth approx- imations to trajectories in the plane. The method is applied to short segments.
This paper presents a method for finding low curvature smooth approximations to trajectories which is then applied to short segments of a vehicle trajectory in ...
A variational technique for finding low curvature smooth approximations to trajectories in the plane to find the sequence of internal states for which the ...
Classification is widely used for modeling various types of data sets, namely sets of items, text document, networks, signals and graphs. But, there is lack of ...
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Nov 4, 2016 · This study develops a framework for activity classification of observed on-road vehicles using 3D trajectory cues and a Long Short Term Memory ( ...
Missing: Approximation | Show results with:Approximation
This study introduces an innovative scheme for classifying uncrewed aerial vehicle (UAV)-derived vehicle trajectory behaviors by employing machine learning (ML) ...
Missing: Approximation | Show results with:Approximation
This report also presents a new calibration algorithm for the camera. Implemented on a dual Pentium PC equipped with a Matrox Genesis C80 video processing ...
This paper proposes a trajectory prediction approach for a lane changing vehicle considering high-level driver status.
This paper provides an extensive survey of the current state-of-the-art Machine Learning (ML)-based trajectory prediction methods for Autonomous Vehicles (AVs).
Jul 29, 2024 · This study introduces an innovative scheme for classifying uncrewed aerial vehicle (UAV)-derived vehicle trajectory behaviors by employing ...