Artificial Intelligence / Autonomous Vehicle Driving

   

 Artificial Intelligence / Basic Understanding / Data Analysis 

 

The Nvidia / Amazon / Google / Facebook / Apple   has started and designed the artificial intelligence /software having various names  capable of assess the internet  and special features on your phone .

 All These Artificial Intelligence Are  Being Trained By Providing Various Data To Train Themselves  

Example - A For Mango How We Know That Its An Mango Or Any Other Fruit / Vegetable Through Our Senses  But How To Give These Senses To An Computer Simply We Cant So We Train How Lets see 

 

1) We uses the shape to identity the type of object .

 We Import The Images To The Artificial Intelligence And Feed To Its Memory . 

Whenever An Object Is Kept In Front Of It . Its Starts To Scan It By Type Of Scanning U Have Enabled In Artificial Intelligence But That Is  Not Easy How Its Sounds Like 

2) We Try To Train The AI By Feeding More Data On Different Types of Mangoes Available All Around The World 

  Autonomous Vehicle Driving By NVIDIA 

A self-driving car (also known as an autonomous car or a driverless car)is a vehicle that is capable of sensing its environment and navigating without much human input.

The potential benefits of autonomous cars include reduced mobility and infrastructure costs, increased safety, increased mobility, increased customer satisfaction, and reduced crime. These benefits also include a potentially significant reduction in traffic collisions resulting injuries; and related costs, including less need for insurance

How Does AI Work in Autonomous Vehicles ?

AI has become a popular buzz word these days, but how does it actually work in autonomous vehicles?

Let us first look at the human perspective of driving a car with the use of sensory functions such as vision and sound to watch the road and the other cars on the road. When we stop at a red light or wait for a pedestrian to cross the road, we are using our memory to make these quick decisions. The years of driving experience habituate us to look for the little things that we encounter often on the roads — it could be a better route to the office or just a big bump in the road.

We are building autonomous vehicles that drive themselves, but we want them to drive like human drivers do. That means we need to provide these vehicles with the sensory functions, cognitive functions (memory, logical thinking, decision-making and learning) and executive capabilities that humans use to drive vehicles.

AI Perception Action Cycle In Autonomous Vehicles

A repetitive loop, called Perception Action Cycle, is created when the autonomous vehicle generates data from its surrounding environment and feeds it into the intelligent agent, who in turn makes decisions and enables the autonomous vehicle to perform specific actions in that same environment.The figure below illustrates the data flow in autonomous vehicles: