Self Driving Car helps to Get from place to place without any human interruption, no accidents, congestion, and even environmental pollution.
But before you take a chance to ride in one of these vehicles, you might be wondering how they actually work.
In this article, I will tell you What is a Self Driving Car and some of the reasons self-driving cars are so appealing and how they work.
Self Driving Car
A self-driving car is a vehicle which is operating without human involvement
It is capable of sensing its environment
A human is not required to take control of the car at any time, nor required to be present in the car at all.
A Self Driving Car can go anywhere as a traditional car goes and do everything that an experienced human driver does.
This car (sometimes called an autonomous car or driverless car) is a vehicle that uses a combination of sensors, cameras, radar and artificial intelligence (AI) to travel between destinations without a human operator.
Qualified as fully autonomous,because it must be able to navigate without a human driver to a preset destination over roads that have not been adapted for its use.
How Do Self-Driving Cars Work?
Self-driving Cars replace driver assistance with automated safety features to navigate roads by the use of technologies.
These technologies are a mixture of sensors, software, radar, GPS, laser beams and cameras.
The cameras to monitor road conditions and these technologies to operate and navigate an autonomous vehicle.
The technological factors quickly developed in recent years have finally peaked in making self-driving cars a reality.
Self-driving cars are only possible today due to the following 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 that 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 perfectly.
A “flaw,” like in Uber’s self-driving accident, can be killed.
Though there is yet to be a fully driverless car on the road outside of testing vehicles, some partially autonomous features are commonly installed in cars that you can purchase today.
Feature of Autonomous
The NHTSA said that the first safety features presented in vehicles started in the 1950s with seat belts and expanded to optional and then standard offerings of antilock brakes and cruise control.
In 2000, advanced safety features were introduced, including:
- Blind spot detection
- Electronic stability control
- Forward collision warning
- Lane departure warning
Starting in 2010, advanced driver assistance features were offered, with many standard in today’s vehicles:
- Automatic emergency braking
- Lane centering assist
- Pedestrian and rear automatic emergency braking
- Rear cross traffic alerts
- Rearview video monitoring systems
Partially automated safety features began to be introduced in 2016 and are continuing to rollout until 2025, including:
- Adaptive cruise control
- Lane keep assist
- Traffic jam assist
The NHTSA anticipates that fully autonomous safety features like highway autopilot will be introduced by 2025.
Top 3 Self-driving car facts
- It is estimated only ⅓ of driver-error car crashes can be overcome with driverless vehicles.
- It is estimated that self-driving cars can free up to 50 minutes per day dedicated to driving.
- Just 34% of Americans consider autonomous car advantages outweigh potential disadvantages, with 20% stating there is no safe way for fully autonomous vehicles.
Levels of autonomy
According to the Society of Automotive Engineers (SAE) currently there are 6 levels of driving automation.
Ranging from Level 0 (fully manual) to Level 5 (fully autonomous).
These levels have been adopted by the U.S. Department of Transportation.
Different cars are capable of different levels of self-driving.
0: All major systems are controlled by humans
1: Certain systems, such as cruise control or automatic braking, may be controlled by the car, one at a time
2: The car offers at least two simultaneous automated functions, like acceleration and steering, but requires humans for safe operation
3: The car can manage all safety-critical functions under certain conditions, but the driver is expected to take over when alerted
4: The car is fully-autonomous in some driving scenarios, though not all
5: The car is completely capable of self-driving in every situation