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

Nutrition – Awareness Program on Micronutrient Deficiencies
Nutrition – Awareness Program on Micronutrient Deficiencies
Autonomous Floor Cleaning Robot
Autonomous Floor Cleaning Robot
Developing a Sustainable Education System for Rural Chhattisgarh
Developing a Sustainable Education System for Rural Chhattisgarh
Error Linear Complexity Measures for Multisequences
Error Linear Complexity Measures for Multisequences
Development of a Real-time, Process Control Method Based on Neural Network Model Using Feedback of Weld Pool Geometric Parameters Measured by a Vision-based Technique and Experimental Verification for Automated Arc Welding Processes
Development of a Real-time, Process Control Method Based on Neural Network Model Using Feedback of Weld Pool Geometric Parameters Measured by a Vision-based Technique and Experimental Verification for Automated Arc Welding Processes
Admissions Apply Now