Back close
Admissions

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

Development of a Real-Time Wireless Sensor Network for Landslide Monitoring
Development of a Real-Time Wireless Sensor Network for Landslide Monitoring
Service Robot
Service Robot
Advanced Threat Collection Platforms
Advanced Threat Collection Platforms
Modelling of Coconut Tree Trunk
Modelling of Coconut Tree Trunk
Error Linear Complexity Measures for Multisequences
Error Linear Complexity Measures for Multisequences
Admissions Apply Now