Self Driving Cars And Data Science

“If you recognize that self driving cars are going to prevent car accidents, AI will be responsible for reducing one of the leading causes of death in the world.” – Mark Zuckerberg

Self driving cars :

Years ago, Self driving cars were just an idea, we used to see them in science-fiction movies. But now they are not a futuristic technology anymore. In not so far future, you will be owning one self driving car. But have you ever wondered, how self-driving cars work? This blog will all be about the Importance of Data Science in self driving cars.

In 2009, Google launched its self-driving car project. Within 18 months, they developed a system that could maneuver through some of California’s trickiest roads without human interference. Then, Tesla joined the race by building automating features into its vehicles, such as blind-spot detection, auto braking, and lane departure warnings. Uber and Lyft also began investing heavily in making ride-sharing an autonomous task. Soon after, all major automakers followed suit, as well as hundreds of start-ups sprouting up to offer improved autonomous features to help these giants in their endeavors.

self driving cars

Why Autonomous Vehicles will be driven by data scientists?

We have come so far. Technology kept surprising and impressing us all the time. Data Science is one of the crucial technologies behind driverless vehicles. For autonomous vehicles to operate efficiently, they need to analyze data in real-time and this could only be possible with the application of Data Science.  By analyzing the data collected from the sensors, Data Science will help in better navigation of autonomous vehicles. There’s no denial of the fact that Data Science has become a major game-changing technology with several unique applications that are making humans more comfortable and productive in less time.

self driving cars

Tesla :

Autopilot’s advanced safety and convenience features are designed to assist you with the most burdensome parts of driving. Autopilot introduces new features and improves existing functionality to make your Tesla safer and more capable over time. Autopilot enables your car to steer, accelerate and brake automatically within its lane.

Drive.ai :

Drive.ai, a subsidiary of Apple Inc., is an American technology company headquartered in Mountain View, California that uses artificial intelligence to make self-driving systems for cars. It has demonstrated a vehicle driving autonomously with a safety driver only in the passenger seat.To date, the company has raised approximately $77 million in funding. Drive.ai’s technology can be modified to turn a vehicle autonomous

Application of Data Science in Autonomous Vehicles:

An autonomous driverless vehicle has three major components namely

  • Sensors
  • Processors
  • Actuators
  • Vehicle to Vehicle Cloud Communication

Data Science helps in analyzing the Images and information gleaned from sensors and gives the system command via actuators. Based on this data, the system controls physical actions like braking and steering.

Data Science can also help in localization. It analyzes the data that is collected from specific maps and sensors and it helps to track the location of your car. By making use of predictive analysis, the system can precisely anticipate the behavior of objects surrounding the vehicle. By analyzing the real-time data, Data Science will also help the system in planning the best routes to a destination.

Image Classification and Image Localisation are two different techniques in the process of object identification and for this Convolutional Neural Networks are used for performing convolutional operations on the images received from the sensors. There are also many data-driven advanced algorithms in Data Science that will be used to convert real driving experiences into programmable information.

Conclusion :

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