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

Design and Development of an IoT Based Smart Irrigation and Fertilization System for Chilli Farming
Design and Development of an IoT Based Smart Irrigation and Fertilization System for Chilli Farming
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
KaraChara- Hand Orthosis for Rehabilitation of Stroke Patients
KaraChara- Hand Orthosis for Rehabilitation of Stroke Patients
Menstrual Awareness – Menstrual Hygiene Awareness Program
Menstrual Awareness – Menstrual Hygiene Awareness Program
New and Efficient Photosensitizers for Nanocrystalline TiO2 Based Dye Sensitized Solar Cells
New and Efficient Photosensitizers for Nanocrystalline TiO2 Based Dye Sensitized Solar Cells
Admissions Apply Now