Back close

Lane Changing and Overtaking Decision Autonomous Vehicles

School: School of Engineering

Lane Changing and Overtaking Decision	 Autonomous Vehicles

In this project we introduce a modified deep auto encoder model based on extreme learning machine (ELM-MDAE) network to capture lane changing and overtaking behaviour of the vehicles and automatically extract the training data in real time. By using extracted data, LightCBM model is trained to establish a novel lane changing and overtaking decision model.

Related Projects

Hand Orthotic Device
Hand Orthotic Device
Integrative Health and Wellbeing – Strengthening Tribal Health with Preventative Care and Awareness
Integrative Health and Wellbeing – Strengthening Tribal Health with Preventative Care and Awareness
Service Robot
Service Robot
A Service – Oriented Pervasive Framework for Smart Hospitals
A Service – Oriented Pervasive Framework for Smart Hospitals
Formula SAE
Formula SAE
Admissions Apply Now