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

Driving Assistance System Based Ongaze Tracking and Road Scene Events Detection
Driving Assistance System Based Ongaze Tracking and Road Scene Events Detection
Threat Modeling, Trust Modeling, and Development of Secure Platform in Cloud Environments
Threat Modeling, Trust Modeling, and Development of Secure Platform in Cloud Environments
Tech-based Health Monitoring & Awareness
Tech-based Health Monitoring & Awareness
Development of Amperometric Glucose Biosensors
Development of Amperometric Glucose Biosensors
Design and development of a scalable laboratory model of a decentralized  Battery Pack Management System
Design and development of a scalable laboratory model of a decentralized  Battery Pack Management System
Admissions Apply Now