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

Mudra-Hand Gesture Based Wheelchair Navigation
Mudra-Hand Gesture Based Wheelchair Navigation
E-Content for Skill Development and Education
E-Content for Skill Development and Education
Autonomous Floor Cleaning Robot
Autonomous Floor Cleaning Robot
Threat Modeling, Trust Modeling, and Development of Secure Platform in Cloud Environments
Threat Modeling, Trust Modeling, and Development of Secure Platform in Cloud Environments
Kernel Based Approaches for Context Based Image Annotation
Kernel Based Approaches for Context Based Image Annotation
Admissions Apply Now