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Neural networks made easy (Part 72): Trajectory prediction in noisy environments

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by , 06-06-2024 at 09:09 AM (143 Views)
      
   
The noise prediction module solves the auxiliary problem of identifying noise in the analyzed trajectories. This helps the movement prediction model better model potential spatial diversity and improves understanding of the underlying representation in movement prediction, thereby improving future predictions.
The authors of the method conducted additional experiments to empirically demonstrate the critical importance of the spatial consistency and noise prediction modules for SSWNP. When using only the spatial consistency module to solve the movement prediction problem, suboptimal performance of the trained model is observed. Therefore, they integrate both modules in their work.
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