Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review
Artificial Intelligence (AI) shows promising applications for the perception and planning tasks
in autonomous driving (AD) due to its superior performance compared to conventional …
in autonomous driving (AD) due to its superior performance compared to conventional …
Interpretable Long Term Waypoint-Based Trajectory Prediction Model
A Ghoul, I Yahiaoui… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
Predicting the future trajectories of dynamic agents in complex environments is crucial for a
variety of applications, including autonomous driving, robotics, and human-computer …
variety of applications, including autonomous driving, robotics, and human-computer …
Enhancing Interaction Modeling with Agent Selection and Physical Methods for Trajectory Prediction
S Huang, L Ye, M Chen, W Luo, C Xu, D Liang… - arXiv preprint arXiv …, 2024 - arxiv.org
In this study, we address the limitations inherent in most existing vehicle trajectory prediction
methodologies that indiscriminately incorporate all agents within a predetermined proximity …
methodologies that indiscriminately incorporate all agents within a predetermined proximity …