2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDSS-AVV.1
Paper Title POLYNOMIAL TRAJECTORY PREDICTIONS FOR IMPROVED LEARNING PERFORMANCE
Authors Ido Freeman, Kun Zhao, Aptiv Services Deutschland GmbH, Germany; Anton Kummert, University of Wuppertal, Germany
SessionSS-AVV: Special Session: Autonomous Vehicle Vision
LocationArea A
Session Time:Monday, 20 September, 13:30 - 15:00
Presentation Time:Monday, 20 September, 13:30 - 15:00
Presentation Poster
Topic Special Sessions: Autonomous Vehicle Vision
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract The rising demand for Active Safety systems in automotiveapplications stresses the need for a reliable short-term to mid-term trajectory prediction. Anticipating the unfolding path ofroad users, one can act to increase the overall safety. In thiswork, we propose to train neural networks for movement un-derstanding by predicting trajectories in their natural form, asa function of time. Predicting polynomial coefficients allowsus to increase accuracy and improve generalisation.