Jul 20, 2021 · To address this problem, in this study, the human-like Wiedemann car-following model is calibrated and verified with our driving simulator data.
[PDF] Human-like Decision Making and Motion Control for Smooth ... - CORE
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Abstract— Car-following is an important driving behaviour for intelligent vehicles and has a significant impact on traffic efficiency and traffic safety.
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Abstract— Car-following is an important driving behaviour for intelligent vehicles and has a significant impact on traffic efficiency and traffic safety.
Jan 23, 2023 · Abstract—Car-following is an important driving behaviour for intelligent vehicles and has a significant impact on traffic efficiency.
Dive into the research topics of 'Human-Like Decision Making and Motion Control for Smooth and Natural Car Following'. Together they form a unique fingerprint.
Human-Like Decision Making and Motion Control for Smooth and Natural Car Following ... A human-like car-following nonlinear model predictive control (MPC) ...
Jun 14, 2022 · In [21], a learning method of motion planning, based on cost parameters, derived from natural driving data, is proposed. Lu et al. [29] propose ...
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This book details cutting-edge research into human-like driving technology, utilising game theory to better suit a human and machine hybrid driving ...
Missing: Smooth Natural
Oct 21, 2022 · (2) We propose to utilize the deep deterministic policy gradient (DDPG) algorithm for decision-making to obtain an autonomous CF control ...
This paper proposes an efficient autonomous driving solution based on path planning, target recognition, and driving decision-making as its core components.