Does the Innovation make Autonomous car more profitable?

Short Term- Difficult to make this innovation profitable as the technology requires expensive sensors, computing power and software.Market is still small needs time to grow- Issue of economies of scale.

Long Term- Demand is higher.

• Eliminate drivers
• Industrial Automation
• Reduce driving errors
• Every one is able to travel so, more cars sold

Why self-driving cars matter?

Imagine if everyone could get around easily and safely, regardless of their ability to drive. 

Aging or visually impaired loved ones wouldn't have to give up their independence. Time spent commuting could be time spent doing what you want to do. Deaths from traffic accidents—over 1.2 million worldwide every year—could be reduced dramatically, especially since 94% of accidents in the U.S. involve human error.

further more it Autonomous car have other social impacts such as:

• Reduction in car accidents Source 
• Optimal speed 
• Efficient use of highways 
• Application in various industry 
• City expansion 
• Saving of parking space 
• Transportation will no longer be a hindrance The previously excluded-The disabled-The elderly-Even the kids

Abilities of Autonomous Car

This project is design to gain experience and to work on driverless car technology for industrial automation in Pakistan.Autonomous car can drive itself from one point to another without assistance from a driver. The purpose of this project is industrial automation for movement of inventory from source to destination.  Autonomous car can do this by following the defined path, avoid obstacles on its way while navigating through red and green light detection, and the car location can also be tracked.. This project focuses on how to use the autonomous car technology today. The car is able to perform the following:

• The car can be start and stop by interacting with android application using Bluetooth.
• It avoids collision through obstacle avoidance feature.
• It follows path using line tracking feature.
• Car follows Green and Red light to perform navigation.
• Car detects and follows red light as a stopping indicator and Green light as turning Signal to select specific(user defined) path.
• LED lights on car route can be control using mobile application which will be followed by Car.
• GPS technology is used to send “Reached” message on mobile as Car reached to destination.
• Car location can also be track using GPS.

Tools and Technologies are used to make this idea operational:

Software

• Android studio
• Arduino IDE

Hardware

• Arduino board
• TCS3200 Color Sensor
• IR Line Tracking Module 
• Ultrasonic Sensor
• GPS shield
• Bluetooth Module HC-05

videos of Autonomous Car

Mobile Application is design to provide navigation and also car engine is control by that application.

Here we are using an android OS based Smartphone for controlling the Autonomous car. For that the Android OS must fulfill some conditions like: to have Bluetooth connectivity. By Mobile application we can send message to the Arduino using Bluetooth. Arduino receives message, the message is analyzed and an action is executed. This action can be something related with movement (go to department 1, Start, etc).

Location tracking of autonomous car through GPS shield, GPS shield communicates with the Arduino and sends location data on Cloud through GSM technology. Mobile Application read the location data from Cloud and display on Google Map. 

Here is the vedio of working Autonomous Car:

please visit: https://youtu.be/QODdxFIN3ro

Arduino based Autonomous Car

The overview of this project is to implement a driverless car that can drive itself from one point to another without assistance from a driver. One of the main impetuses behind the call for driverless cars is safety. Most prototypes that have been built so far performed automatic steering that were based on sensing the painted lines in the road or magnetic monorails embedded in the road. The goal of this project is to design an autonomous car that can follow the defined path, avoid obstacles, follow red and green light, and the car location tracking. The movement of the car will be driven by four motors. As a path guideline, black line is created on the board in order to make the contrast between them. In this project, the IR line tracking sensors are used to detect the black line, abject avoidance sensors used for obstacle avoidance, IR receiver used to control the car’s start and stop function and color detection sensor is used to detect light and green light for navigation. Mobile Application is used to find the location of car, also controlling for Green and Red LEDs on the Route of Robot.