An Integrated Decision-Making Framework for Highway Autonomous Driving Using Combined Learning and Rule-Based Algorithm
Author:
Affiliation:
1. Department of Vehicle Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
2. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
Funder
National Natural Science Foundation of China
China Scholarship Council
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/25/9765825/09712209.pdf?arnumber=9712209
Reference31 articles.
1. Proximal policy optimization algorithms;schulman,2017
2. An Integrated Threat Assessment Algorithm for Decision-Making of Autonomous Driving Vehicles
3. Humanlike Driving: Empirical Decision-Making System for Autonomous Vehicles
4. Bayesian Reinforcement Learning for Multi-Robot Decentralized Patrolling in Uncertain Environments
5. Human-like autonomous car-following model with deep reinforcement learning
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