A XGBoost-Based Lane Change Prediction on Time Series Data Using Feature Engineering for Autopilot Vehicles-Reference-Cited by-同舟云学术

A XGBoost-Based Lane Change Prediction on Time Series Data Using Feature Engineering for Autopilot Vehicles

Published:2022-10 Issue:10 Volume:23 Page:19187-19200
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Zhang Yi¹^ORCID,Shi Xiupeng²^ORCID,Zhang Sheng¹^ORCID,Abraham Anuj¹^ORCID

Affiliation:

1. Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore

2. Alipay, Alibaba and Ant Group, Pudong, Shanghai, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9916643/09767721.pdf?arnumber=9767721

Reference46 articles.

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4. A wrapper method for feature selection using Support Vector Machines

5. Understanding random forests: From theory to practice;louppe;arXiv 1407 7502,2014

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