Vision-based uncertainty-aware lane kee** strategy using deep reinforcement learning

Energy management strategy with mutation protection for fuel cell electric vehicles

D Wang, L Mei, C Song, L **, F ** system for autonomous vehicles using LSTM-RNN considering driving environments
Y Jeong - Sensors, 2022 - mdpi.com
This paper presents an interactive lane kee** model for an advanced driver assistant
system and autonomous vehicle. The proposed model considers not only the lane markers …
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Suspension control strategies using switched soft actor-critic models for real roads

H Yong, J Seo, J Kim, M Kim… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, we propose learning and control strategies for a semiactive suspension
system in a full car using soft actor-critic (SAC) models on real roads, where many road …
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Autonomous driving algorithms and behaviors, sensing and computing technologies, and connected vehicle data in smart transportation networks

E Clayton, P Kral - Contemporary Readings in Law and Social Justice, 2021 - ceeol.com
This article presents an empirical study carried out to evaluate and analyze autonomous
driving algorithms and behaviors, sensing and computing technologies, and connected …
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Action Advising and Energy Management Strategy Optimization of Hybrid Electric Vehicle Agent Based on Uncertainty Analysis

C Qi, C Song, D Wang, F ** system for autonomous vehicles based on recurrent neural network with temporal dependencies
Y Jeong - Journal of Mechanical Science and Technology, 2022 - Springer
This paper presents a personalized lane kee** system for an autonomous vehicle using
recurrent neural network (RNN) with long short term memory (LSTM) cell. The proposed …
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Data-Driven Aircraft Modeling for Robust Reinforcement Learning Control Synthesis With Flight Test Validation

H Benyamen, M Chowdhury… - Journal of …, 2024 - asmedigitalcollection.asme.org
Low-fidelity engineering-level dynamic models are commonly employed while designing
uncrewed aircraft flight controllers due to their rapid development and cost-effectiveness …
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