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

Self-E
Self-E
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
Mudra-Hand Gesture Based Wheelchair Navigation
Mudra-Hand Gesture Based Wheelchair Navigation
Development of Amperometric Glucose Biosensors
Development of Amperometric Glucose Biosensors
Integrative Health and Wellbeing – Strengthening Tribal Health with Preventative Care and Awareness
Integrative Health and Wellbeing – Strengthening Tribal Health with Preventative Care and Awareness
Admissions Apply Now