Injecting knowledge in data-driven vehicle trajectory predictors

Mohammadhossein Bahari; Ismail Nejjar; Alexandre Alahi

doi:10.1016/j.trc.2021.103010

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Injecting knowledge in data-driven vehicle trajectory predictors

Mohammadhossein Bahari Ismail Nejjar Alexandre Alahi

Year: 2021 Journal: Transportation Research Part C Emerging Technologies Vol: 128 Pages: 103010-103010 Publisher: Elsevier BV

DOI: 10.1016/j.trc.2021.103010

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Keywords:

Trajectory Generalization Computer science Residual Block (permutation group theory) Domain knowledge Kinematics Code (set theory) Prior probability Range (aeronautics) Domain (mathematical analysis) Data-driven Perspective (graphical) Machine learning Artificial intelligence Model predictive control Data mining Control (management) Algorithm Mathematics Bayesian probability Engineering Set (abstract data type)

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Autonomous Vehicle Technology and Safety

Physical Sciences → Engineering → Automotive Engineering

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Injecting knowledge in data-driven vehicle trajectory predictors

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