This system is based on the neural reinforcement learning (NRL) technique, which can learn from human drivers online based on the on-board sensing information.
This system is based on the neural reinforcement learning (NRL) technique, which can learn from human drivers online based on the on-board ...
Aug 24, 2019 · Experiments using driving simulator and real driving data show that PBLS can adapt to different drivers by reproducing their driving behaviors ...
This system is based on the neural reinforcement learning (NRL) technique, which can learn from human drivers online based on the on-board sensing information ...
Experiments using driving simulator and real driving data show that PBLS can adapt to different drivers by reproducing their driving behaviors for LSC in ...
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In this paper, deep learning methods are integrated with driver control mechanisms to propose a human-like neural network for vehicle longitudinal dynamics ...
This study aims to develop a learning-based driving system that can learn from human drivers and realize the human-like longitudinal control. The proposed ...
A Personalized Behavior Learning System for Human-Like Longitudinal Speed Control of Autonomous Vehicles · Engineering, Computer Science. Sensors · 2019.
2017. A personalized behavior learning system for human-like longitudinal speed control of autonomous vehicles. C Lu, J Gong, C Lv, X Chen, D Cao, Y Chen.
This paper looks at the personalized characteristics of various drivers and considers the implications of their differences.
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