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

Digital & Health Literacy – Promoting Health & Wellbeing
Digital & Health Literacy – Promoting Health & Wellbeing
Analysis and Evaluation of Multilayer Shear Damped Viscoelastic Treatments for Launch Vehicle Applications
Analysis and Evaluation of Multilayer Shear Damped Viscoelastic Treatments for Launch Vehicle Applications
Intelligent, Animal Attack Prevention System for Crop Protection
Intelligent, Animal Attack Prevention System for Crop Protection
Kernel Based Approaches for Context Based Image Annotation
Kernel Based Approaches for Context Based Image Annotation
IoT Based Crop Protection System
IoT Based Crop Protection System
Admissions Apply Now