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• W3136121014 startingPage "660" @default.
• W3136121014 abstract "This paper provides a literature review of some of the most important concepts, techniques, and methodologies used within autonomous car systems. Specifically, we focus on two aspects extensively explored in the related literature: tracking, i.e., identifying pedestrians, cars or obstacles from images, observations or sensor data, and prediction, i.e., anticipating the future trajectories and motion of other vehicles in order to facilitate navigating through various traffic conditions. Approaches based on deep neural networks and others, especially stochastic techniques, are reported." @default.
• W3136121014 created "2021-03-29" @default.
• W3136121014 creator A5063576338 @default.
• W3136121014 creator A5063968824 @default.
• W3136121014 date "2021-03-19" @default.
• W3136121014 modified "2023-10-16" @default.
• W3136121014 title "A Review of Tracking and Trajectory Prediction Methods for Autonomous Driving" @default.
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• W3136121014 doi "https://doi.org/10.3390/math9060660" @default.
• W3136121014 hasPublicationYear "2021" @default.
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