Predictive trajectory planning for autonomous vehicles at intersections using reinforcement learning
In this work we put forward a predictive trajectory planning framework to help autonomous
vehicles plan future trajectories. We develop a partially observable Markov decision process …
vehicles plan future trajectories. We develop a partially observable Markov decision process …
Impact of autonomous vehicles on the car-following behavior of human drivers
The past few years have been witness to an increase in autonomous vehicle (AV)
development and testing. However, even with a fully developed and comprehensively tested …
development and testing. However, even with a fully developed and comprehensively tested …
Holistic Spatio-Temporal Graph Attention for Trajectory Prediction in Vehicle–Pedestrian Interactions
H Alghodhaifi, S Lakshmanan - Sensors, 2023 - mdpi.com
Ensuring that intelligent vehicles do not cause fatal collisions remains a persistent challenge
due to pedestrians' unpredictable movements and behavior. The potential for risky situations …
due to pedestrians' unpredictable movements and behavior. The potential for risky situations …
Prediction of Intelligent Vehicle-Pedestrian Conflict in a Highly Uncertain Environment
HM Alghodhaifi - 2023 - deepblue.lib.umich.edu
Ensuring that intelligent vehicles do not cause fatal collisions remains a persistent challenge
due to pedestrians' unpredictable movements and behavior. The potential for risky situations …
due to pedestrians' unpredictable movements and behavior. The potential for risky situations …
Safe and secure design of connected and autonomous vehicles
X Liu - 2023 - search.proquest.com
Abstract Machine learning-based techniques have shown great promises in perception,
prediction, planning, and general decision-making for improving task performance of …
prediction, planning, and general decision-making for improving task performance of …