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Semantic Scholar Open Access 2020 67 sitasi

Motion Prediction for Autonomous Vehicles from Lyft Dataset using Deep Learning

Sampurna Mandal Swagatam Biswas V. Balas R. Shaw Ankush Ghosh
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Abstrak

Autonomous Vehicles are expected to change the future of worldwide transportation system. As self-driving cars are facing a lot of engineering challenges, it is one of the hottest topics in recent research. One such challenge is to build models to predict the movements of traffic agents such as cars, cyclists, pedestrians etc around the self-driving cars. The objective of this paper is to analyse the prediction efficiency of various deep learning models by calculating root mean square error score. This deep learning models takes a current state of the surrounding and depending on that predict the motion for the agents.

Topik & Kata Kunci

Computer Science

Penulis (5)

S

Sampurna Mandal

S

Swagatam Biswas

V

V. Balas

R

R. Shaw

A

Ankush Ghosh

Format Sitasi

APA MLA BibTeX
Mandal, S., Biswas, S., Balas, V., Shaw, R., Ghosh, A. (2020). Motion Prediction for Autonomous Vehicles from Lyft Dataset using Deep Learning. https://doi.org/10.1109/ICCCA49541.2020.9250790

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Informasi Jurnal
Tahun Terbit
2020
Bahasa
en
Total Sitasi
67×
Sumber Database
Semantic Scholar
DOI
10.1109/ICCCA49541.2020.9250790
Akses
Open Access ✓