Title: Lane Detection for Visual Assistance of Self-driving Vehicles for Structured and Unstructured Roads
Abstract: Safety is a very critical aspect of any module designed. In automotive domain, ensuring safety of drivers and co-passengers is very vital, along with this ensuring that no harm is caused by the malfunctioning behavior of components and long-life of automotive parts is required. Driver assistance is a combination of software and hardware system application to help the driver in assisting while driving, thus designed to provide safety and prevent harm. Driver assistance includes many applications in assisting parking, lane detection, dent detection, pot-hole detection, etc. We have implemented a combined solution for lane detection, vehicle detection, and steering assistance providing information of lane curvature and direction. The system is intended to automate, enhance safety, and ease out the driving process. The methodology implemented can be extended to other applications. The driving test for driver’s license with specific parameters can be used to test the driver’s performance automatically. With obstacles detected, it becomes easy to avoid collision by providing a warning system.
Publication Year: 2021
Publication Date: 2021-07-26
Language: en
Type: book-chapter
Indexed In: ['crossref']
Access and Citation
Cited By Count: 2
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