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

Paripreksya 3.0
Paripreksya 3.0
Machine Learning based Hand Orthotic Device
Machine Learning based Hand Orthotic Device
Bio Water Filtration Unit for Improved Access to Clean Water – Communication for Sustainable Change
Bio Water Filtration Unit for Improved Access to Clean Water – Communication for Sustainable Change
Detailed computational modelling and optimization of natural draught cook stoves.
Detailed computational modelling and optimization of natural draught cook stoves.
Scalable Fault Models for Prognosis and Diagnosis of Generators in Aircraft Electrical Systems
Scalable Fault Models for Prognosis and Diagnosis of Generators in Aircraft Electrical Systems
Admissions Apply Now