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

Detailed computational modelling and optimization of natural draught cook stoves.
Detailed computational modelling and optimization of natural draught cook stoves.
Intelligent, Animal Attack Prevention System for Crop Protection
Intelligent, Animal Attack Prevention System for Crop Protection
Developing a Sustainable Education System for Rural Chhattisgarh
Developing a Sustainable Education System for Rural Chhattisgarh
IoT Framework for Modeling, Monitoring and Damage Detection of Natural and Historical Heritage Structures
IoT Framework for Modeling, Monitoring and Damage Detection of Natural and Historical Heritage Structures
Negative Pressure Isolation Hooded Wheel Chair
Negative Pressure Isolation Hooded Wheel Chair
Admissions Apply Now