GOOGLE DRIVERLESS CAR

Google Driverless Cars

An Introduction to Self-Driving Cars Self-driving car (driverless, autonomous, robotic car) is a vehicle that is capable of sensing its environment and navigating without human input. Self-driving cars can detect environments using a variety of techniques such as radarGPS and computer vision.
Advanced control systems interpret sensory information to identify appropriate navigational paths, as well as obstacles and relevant signage. Self-driving cars have control systems that are capable of analyzing sensory data to distinguish between different cars on the road. This is very useful in planning a path to the desired destination.

How do self-driving cars work?

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The technological leaps and bounds we have made in recent years have finally culminated in making self-driving cars a reality. Self-driving cars are only possible today due to the existence of three technologies.

1: IoT Sensors

There are many types of sensors available today that make autonomous cars a reality. Sensors for blind-spot monitoring, forward collision warning, radar, camera, LIDAR, and ultrasonic all work together to make navigation of a self-driving car possible.

2: IoT Connectivity

Self-driving cars use cloud computing to act upon traffic data, weather, maps, adjacent cars, and surface conditions among others. This helps them monitor their surroundings better and make informed decisions. Self-driving cars must be connected to the internet even if edge computing hardware can solve small computing tasks locally.

3: Software Algorithms

All the data the car collects needs to be analyzed to determine the best course of action. This is the main function of the control algorithms and software. This is the most complex part of the self-driving car since it has to make decisions flawlessly. A “flaw,” like in Uber’s self-driving accident, can be fatal.   

 

The benefits

  • Greatly improved safety: 94% of accidents are caused by human error
  • Improved transport interconnectivity
  • Reduced congestion: Congestion will cost NSW $6.9 billion in 2017
  • Reduced pollution and emissions: Reducing transport energy consumption by up to 90% 
  • Greater mobility options: For elderly, young and disabled users
  • Greater convenience, efficiency and reliability
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  • Reduced costs and maintenance requirements

Drawbacks:

  • Expensive. Self-driving cars are so exciting because they are stuffed to the brim with space age technology, but all this technology is currently astronomically expensive. …
  • Potential For Technology To Go Wrong. …
  • Potential For Greater Pollution. …
  • Potential Loss Of Privacy.
Driverless cars becoming ready to use. - Matchware | Examples

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