A deep learning algorithm for simulating autonomous driving considering prior knowledge and temporal information-Reference-Cited by-同舟云学术

A deep learning algorithm for simulating autonomous driving considering prior knowledge and temporal information

Published:2019-09 Issue:4 Volume:35 Page:305-321
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer‐Aided Civil and Infrastructure Engineering

Author:

Chen Sikai¹,Leng Yue²,Labi Samuel¹

Affiliation:

1. U.S. DOT Center for Connected and Automated Transportation (CCAT), and Lyles School of Civil EngineeringPurdue University West Lafayette IN USA

2. Weldon School of Biomedical Engineering, Department of Computer Science, and U.S. DOT Center for Connected and Automated Transportation (CCAT)Purdue University West Lafayette IN USA

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12495

Reference79 articles.

1. Dimensions of aberrant driver behaviour

2. Neural Networks in Civil Engineering: 1989–2000

3. Intelligent Infrastructure

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