The term self-driving car lets people assume that these vehicles would do everything on their own, without any human intervention but do you know what makes a vehicle truly autonomous?
SAE International (the Society of Automotive Engineers) explains from the zero levels to level five that it requires no human interaction. At this moment, We are far from having the vehicles at level five automation since there are different situations with which autonomous vehicles are unable to copy.
In this blog, we will look at some of the enabling technologies that create a vehicle autonomous and how such technologies incorporate to allow a car or other vehicle to navigate streets autonomously. So let’s assume that there is a car that you want to make autonomous. Three noticeable elements would require for this car:
- HDMap (High Definition Map)
- State and geolocation estimator
- Motion manager
Before jumping into the discussion regarding the aspect of the autonomous vehicle, let’s discuss the sensors we use:
Sensors in Autonomous Vehicles
LiDAR (light detection and ranging)
This is the remote sensing method that utilizes light in terms of a pulsed laser to measure things to the earth. This sensor scans buildings and roads. With LIDAR, we create a cloud point that we load to represent the real world.
RADAR (radio detection and ranging)
This is the detection system that uses radio waves to find the angle, range, or velocity of objects. RADARs are considered the simplest sensors that we have in autonomous vehicles currently. These are cheap as compared to LIDAR.
GPS (global positioning system)
We all have heard this term that we normally associate with the use of smartphones to geolocate on the planet. After activating the GPS you get Google Maps active on your phone. These are significant sensors in autonomous vehicles that help cars to recognize objects and people in the real world.
Now let’s dive into looking at the key aspects of autonomous vehicles.
HDMap (High Definition Map)
It provides the ability to detect the location of the vehicle in the world. For that, vehicles need to have a lot of data about the road and the surroundings. Establishing an HDMap needs a lot of effort, there are organizations whose only purpose is to make and keep HDMap up to date.
They coordinate the input from all the sensors in the autonomous vehicle. The state estimator works through receiving input and aggregating data from the different parts of the car. Various situations may favor different sensors, but the state estimator will combine the data from the several sensors within the autonomous vehicle.
These are the key aspects to consider when diving into the world of autonomous vehicles. There are different libraries, architecture, and algorithms to consider in the phase of the development of the autonomous vehicle. If you are looking for an experienced web and mobile developer then you must give sight to the website of objectual systems limited at https://objectual.pk/