Distributed multiagent coordinated learning for autonomous driving in highways based on dynamic coordination graphs

C Yu, X Wang, X Xu, M Zhang, H Ge… - Ieee transactions on …, 2019 - ieeexplore.ieee.org
Autonomous driving is one of the most important AI applications and has attracted extensive
interest in recent years. A large number of studies have successfully applied reinforcement …

Virtual target-based overtaking decision, motion planning, and control of autonomous vehicles

H Chae, K Yi - IEEE Access, 2020 - ieeexplore.ieee.org
This paper describes the design, implementation, and evaluation of a virtual target-based
overtaking decision, motion planning, and control algorithm for autonomous vehicles. Both …

Autonomous overtaking for intelligent vehicles considering social preference based on hierarchical reinforcement learning

H Lu, C Lu, Y Yu, G Xiong, J Gong - Automotive Innovation, 2022 - Springer
As intelligent vehicles usually have complex overtaking process, a safe and efficient
automated overtaking system (AOS) is vital to avoid accidents caused by wrong operation of …

[PDF][PDF] Hardware simulation of automatic braking system based on fuzzy logic control

NC Basjaruddin, K Kuspriyanto… - … Electrical Power, and …, 2016 - researchgate.net
In certain situations, a moving or stationary object can be a barrier for a vehicle. People and
vehicles crossing could potentially get hit by a vehicle. Objects around roads as sidewalks …

Overtaking assistant system (OAS) with fuzzy logic method using camera sensor

K Anindyaguna, NC Basjaruddin… - 2016 2nd international …, 2016 - ieeexplore.ieee.org
Overtaking assistant system (OAS) is one of ADAS'subsystem that assists the driver on
overtaking decision making. In this research, an OAS for overtaking one vehicle on one-way …

A Deep Coordination Graph Convolution Reinforcement Learning for Multi‐Intelligent Vehicle Driving Policy

H Si, G Tan, H Zuo - Wireless Communications and Mobile …, 2022 - Wiley Online Library
With the growing up of Internet of Things technology, the application of Internet of Things has
been popularized in the field of intelligent vehicles. Therefore, more artificial intelligence …

[PDF][PDF] Hardware simulation of active lane keeping assist based on fuzzy logic

NC Basjaruddin, DS Kuspriyanto… - Indonesian Journal of …, 2017 - researchgate.net
Accidents due to cross the lane (lane departure crash) of achieving 19% of all accidents.
These accidents mostly caused because the driver is not concentrating or dozing. A device …

A Mamdani fuzzy model to choose eligible student entry

A Nursikuwagus - TELKOMIKA, 2017 - repository.unikom.ac.id
This paper presented about study that have been created a new student choosing system by
using fuzzy mamdani inference systems method. Fuzzy mamdani is used because it has …

[HTML][HTML] Real time vision based overtaking assistance system for drivers at night on two-lane single carriageway

G Mandai, D Bhattacharya, P De - Computación y Sistemas, 2021 - scielo.org.mx
In this article, an effective solution has been presented to assist a driver in taking decisions
for overtaking under adverse night time dark condition on a two-lane single carriageway …

Fuzzy logic based recommendation system for road accident data analysis

S Saranyadevi, R Murugeswari… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Road accidents are becoming a life threatening thing which is believed as one of the public
health hazards in recent days. As the road transportation is growing considerably, the …