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

Gesture Controlled Automation For Physically Impaired
Gesture Controlled Automation For Physically Impaired
Security Event Processing Acceleration using GPGPU
Security Event Processing Acceleration using GPGPU
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
Paripreksya 3.0
Paripreksya 3.0
Driving Assistance System Based Ongaze Tracking and Road Scene Events Detection
Driving Assistance System Based Ongaze Tracking and Road Scene Events Detection
Admissions Apply Now