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

Detection and Prevention of Advanced Persistent Threat (APT) Activitiesin Heterogeneous Networks using SIEM and Deep Learning
Detection and Prevention of Advanced Persistent Threat (APT) Activitiesin Heterogeneous Networks using SIEM and Deep Learning
Search and Rescue Robot
Search and Rescue Robot
Negative Pressure Isolation Hooded Wheel Chair
Negative Pressure Isolation Hooded Wheel Chair
Energy Management on Smart Grid using Embedded Systems
Energy Management on Smart Grid using Embedded Systems
Study and Simulation of Landing Dynamics of a Lunar Soft Lander
Study and Simulation of Landing Dynamics of a Lunar Soft Lander
Admissions Apply Now