A survey on trajectory-prediction methods for autonomous driving
In order to drive safely in a dynamic environment, autonomous vehicles should be able to
predict the future states of traffic participants nearby, especially surrounding vehicles, similar …
predict the future states of traffic participants nearby, especially surrounding vehicles, similar …
Machine learning for autonomous vehicle's trajectory prediction: A comprehensive survey, challenges, and future research directions
V Bharilya, N Kumar - Vehicular Communications, 2024 - Elsevier
The significant contribution of human errors, accounting for approximately 94%(with a
margin of±2.2%), to road crashes leading to casualties, vehicle damages, and safety …
margin of±2.2%), to road crashes leading to casualties, vehicle damages, and safety …
Robot learning from demonstration for path planning: A review
ZW Xie, Q Zhang, ZN Jiang, H Liu - Science China Technological …, 2020 - Springer
Learning from demonstration (LfD) is an appealing method of helping robots learn new
skills. Numerous papers have presented methods of LfD with good performance in robotics …
skills. Numerous papers have presented methods of LfD with good performance in robotics …
Driving behavior modeling and characteristic learning for human-like decision-making in highway
C Xu, W Zhao, C Wang, T Cui… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
To make autonomous vehicles consider driver's personalized characteristics, this paper
proposes an integrated model and learning combined (IMLC) algorithm to realize human …
proposes an integrated model and learning combined (IMLC) algorithm to realize human …
A rear anti-collision decision-making methodology based on deep reinforcement learning for autonomous commercial vehicles
W Hu, X Li, J Hu, X Song, X Dong, D Kong… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Driving decision-making determines the safety and rationality of autonomous commercial
vehicles. Aiming at the issue of safe driving decision-making, herein, a rear anti-collision …
vehicles. Aiming at the issue of safe driving decision-making, herein, a rear anti-collision …
An optimization-based human behavior modeling and prediction for human-robot collaborative disassembly
To achieve a safe and seamless human-robot collaboration in intelligent remanufacturing,
robot agents should be able to understand human behaviors, predict human future motion …
robot agents should be able to understand human behaviors, predict human future motion …
How to not drive: Learning driving constraints from demonstration
K Rezaee, P Yadmellat - 2022 IEEE Intelligent Vehicles …, 2022 - ieeexplore.ieee.org
We propose a new scheme to learn motion planning constraints from human driving
trajectories. Behavioral and motion planning are the key components in an autonomous …
trajectories. Behavioral and motion planning are the key components in an autonomous …
RRT-based maximum entropy inverse reinforcement learning for robust and efficient driving behavior prediction
S Hosoma, M Sugasaki, H Arie… - 2022 IEEE Intelligent …, 2022 - ieeexplore.ieee.org
Advanced driver assistance systems have gained popularity as a safe technology that helps
people avoid traffic accidents. To improve system reliability, a lot of research on driving …
people avoid traffic accidents. To improve system reliability, a lot of research on driving …
An Integrated Lateral and Longitudinal Decision‐Making Model for Autonomous Driving Based on Deep Reinforcement Learning
J Cui, B Zhao, M Qu - Journal of Advanced Transportation, 2023 - Wiley Online Library
Decision‐making is an important component of autonomous driving perception, decision‐
making, planning, and control pipeline, which undertakes the task of how the ego vehicle …
making, planning, and control pipeline, which undertakes the task of how the ego vehicle …
A Mutual Information-Based Assessment of Reverse Engineering on Rewards of Reinforcement Learning
Rewards are critical hyperparameters in reinforcement learning (RL), since in most cases
different reward values will lead to greatly different performance. Due to their commercial …
different reward values will lead to greatly different performance. Due to their commercial …