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

Machine Learning based Hand Orthotic Device
Machine Learning based Hand Orthotic Device
Menstrual Awareness – Menstrual Hygiene Awareness Program
Menstrual Awareness – Menstrual Hygiene Awareness Program
Development of Amperometric Glucose Biosensors
Development of Amperometric Glucose Biosensors
Implementation of Intensive Natural Language Processing & Soft Computing Technology Based Extrinsic Plagiarism Detection Tool
Implementation of Intensive Natural Language Processing & Soft Computing Technology Based Extrinsic Plagiarism Detection Tool
Self-E
Self-E
Admissions Apply Now