Driver Assistance system

Driver Assistance system: Most of the Road occurred due to driver mistakes. We shall assist the driver to reduce road accidents. The driver will get assistance in three ways. We, Will, help them to detect Road sign which driver can neglect due to the speed of the car. We wi

Project Title

Driver Assistance system

Project Area of Specialization

Internet of Things

Project Summary

Driver Assistance system:
Most of the Road occurred due to driver mistakes. We shall assist the driver to reduce road accidents. The driver will get assistance in three ways. We, Will, help them to detect Road sign which driver can neglect due to the speed of the car. We will show marking to remain driver in their lane. And in the last but not the least we will give the estimated distance from other vehicles which give them the sense to reduce their speed to avoid any misadventure. It will work to reduce road accidents and to save precious lives.

Project Objectives

There are three main objectives to assist the driver following below:

1. Road Lane Detection
2. Road sign Detection
3. Vehicle distance estimation

Project Implementation Method

we will implement the project through image processing techniques to complete the project. We have three modules so there will be different methods to complete the project. We will complete the project through image processing and will implement on NVIDIA developer kit Jetson TK1.

Benefits of the Project

Traffic accidents are a major cause of fatalities worldwide. It is estimated that more than 1 million people are killed and 50 million are injured in the world every year as a result of road crashes. These accidents bear a heavy economic burden, including hospitalization expenses and loss due to property damages. Recently, it was estimated that the economic burden of traffic accidents amounts, on average, to 2% of the world GDP.

Automotive manufacturers, companies in the private market and academic institutes keep investing many resources into research and development of Advanced Driver Assistance Systems (ADAS). These systems are primarily aimed at saving the lives of both drivers and pedestrians by warning the driver before critical situations or – when crashes are inevitable – by preparing the car to minimize their consequences. Detection and tracking of the lane can then be used to restrict the region of interest in which cars are detected and tracked. Detection of cars is carried using a trained classifier, distinguishing cars from the non-cars object (e.g. their shadows). The temporal information gathered from several successive frames of successful car detections can be used to the purpose of 3D positioning of the detected vehicle.

The main benefit of this system, based on image processing is that it provides an alert and give a better way to drive a car.

Technical Details of Final Deliverable

We will have to implement the system on NVIDIA developer kit Jetson TK1 and interface the camera for real time implementation and use the python programming language for the development of system and use computer vision libraries for implementing computer vision techniques which we developed on for driver assistance system.

Final Deliverable of the Project

HW/SW integrated system

Type of Industry

IT

Technologies

Internet of Things (IoT)

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com