Machine Learning-Driven Trajectory Prediction Models and Motion Control Strategies for Connected Automated Vehicles with Human Adaptation

L'abstract è presente nell'allegato / the abstract is in the attachment

Grantor dc:publisher

Politecnico di Torino

Year dc:date

2024

Author dc:creator

• SELVARAJ, DINESH CYRIL

Contributors dc:contributor

• CHIASSERINI, Carla Fabiana

• Intelligent Transportation System
• Connected Vehicle
• Vehicle Trajectory Prediction
• Uncertainty Estimation
• Collision Avoidance
• Deep Reinforcement Learning
• Constrained Deep Reinforcement Learning
• Vehicle Dynamic
• Machine Learning
• Recurrent Neural Networks
• Settore ING-INF/03 - Telecomunicazioni

Statement dc:rights

• info:eu-repo/semantics/openAccess
• license:Creative commons
• license uri:http://creativecommons.org/licenses/by-nc-nd/4.0/

Language dc:language

eng

Handle dc:identifier

https://hdl.handle.net/11583/2990183

OAI identifier oai:identifier

oai:iris.polito.it:11583/2990183