An Empirical Analysis of Trajectory Prediction Techniques for Motion Prediction in Waymo Dataset

• Devansh Arora ^[1] ; Parul Arora ^[2] ; Ritika Wason ^[2]
  1. [1] Indraprastha Institute of Information Technology (IIIT) Delhi (India)
  2. [2] BVICAM. Delhi (India)
• Localización: 3c Tecnología: glosas de innovación aplicadas a la pyme, ISSN-e 2254-4143, Vol. 12, Nº. 2, 2023, págs. 49-63
• Idioma: inglés
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• Resumen

  • The Waymo is the prime and most varied autonomous driving dataset that improves and enhances itself every year. Motion Prediction is a considerable challenge in 2023. This manuscript analyses five considerable methods namely MTR-A, Wayformer, DenseTNT, Golfer and MultiPath++ for their technology applied. The analysis revealed that the Transformer network could achieve a state of the art trajectory prediction as well as scale to many workloads.