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

Kernel Based Approaches for Context Based Image Annotation
Kernel Based Approaches for Context Based Image Annotation
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
Service Robot
Service Robot
ROS Based Autonomous Shopping Cart with e-Payment Facility
ROS Based Autonomous Shopping Cart with e-Payment Facility
Tech-based Health Monitoring & Awareness
Tech-based Health Monitoring & Awareness
Admissions Apply Now