Publication Type : Conference Paper
Publisher : Springer, Singapore
Source : Springer, Singapore, 2021
Url : https://link.springer.com/chapter/10.1007/978-981-16-1395-1_29
Keywords : Driving behavior, Maneuver planning, Rule-based, Learning-based
Campus : Amritapuri
Center : Humanitarian Technology (HuT) Labs
Year : 2021
Abstract : Decision-Making technique in autonomous vehicles is one of the promising technologies for driving safety. While considering different types of maneuver, wrong driving decision-making may result in severe accidents. This is because of the difficulty of precisely finding out some possible decision-making facts considered by the driver. Thus, in autonomous vehicles, an efficient decision-making mechanism like that of a driver in decision-making is a crucial factor. The novelty of automated driving with human-like driving behavior improves mobility substantially. It offers many significant social benefits such as enhancing the mobility of those who lack it and radically improving safety and saving lives. This study mainly focuses on the various existing driving decision-making mechanisms used in autonomous vehicles for smooth and efficient path planning.
Cite this Research Publication : G Anjana, Rajesh Kannan Megalingam "A Study on Human-like Driving Decision-Making Mechanism in Autonomous Vehicles Under Various Road Scenarios " Springer, Singapore, 2021