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

Intelligent, Animal Attack Prevention System for Crop Protection
Intelligent, Animal Attack Prevention System for Crop Protection
Scalable Fault Models for Prognosis and Diagnosis of Generators in Aircraft Electrical Systems
Scalable Fault Models for Prognosis and Diagnosis of Generators in Aircraft Electrical Systems
Development of a Real-Time Wireless Sensor Network for Landslide Monitoring
Development of a Real-Time Wireless Sensor Network for Landslide Monitoring
Threat Modeling, Trust Modeling, and Development of Secure Platform in Cloud Environments
Threat Modeling, Trust Modeling, and Development of Secure Platform in Cloud Environments
Developing a Sustainable Education System for Rural Chhattisgarh
Developing a Sustainable Education System for Rural Chhattisgarh
Admissions Apply Now