4.5 Article

Human-Like Decision Making of Artificial Drivers in Intelligent Transportation Systems: An End-to-End Driving Behavior Prediction Approach

Journal

IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE
Volume 14, Issue 6, Pages 188-205

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MITS.2021.3085986

Keywords

Feature extraction; Vehicles; Task analysis; Decision making; Learning (artificial intelligence); Data mining; Green products

Funding

  1. National Natural Science Foundation of China [51805332]
  2. Shenzhen Fundamental Research Fund [JCYJ20190808142613246]
  3. Young Elite Scientists Sponsorship Program - China Society of Automotive Engineers

Ask authors/readers for more resources

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available