Self-Driving Cars Versus Human Driver

Indonesia is now in the era of the industrial revolution 4.0. We know that now everyone uses technology. Technology is increasingly developing, and most developments make things more efficient. The development of technology makes it easy for people to carry out activities. Technological developments can also overcome transportation problems in Indonesia. Internet of Things (IoT), a term that lately began to be found, but there are still many who do not understand the meaning of this term. In short, the Internet of Things can be interpreted as objects around us that can communicate with each other through a network such as the internet. Many predict that the influence of the Internet of Things is “the next big thing” in the world of information technology. This is because IoT offers a lot of potential that can be developed. A simple example of the benefits and implementation of the Internet of Things, for example, is Goggle Self Driving Car. The issue of the high number of accidents in Indonesia really need to be considered, where the number of private motor vehicle users is increasing every year. The IoT application on private vehicles can make autonomous cars or also known as driverless cars. This car has the advantage of being able to recognize the surrounding environment and walk without being controlled by humans.

Autonomous vehicles use a central computer to process data received by sensors. By using different algorithms, the computer can determine which path to take. then the central computer will instruct the car to take the appropriate action. The way this autonomous vehicle is related to the programming course I learned.

One example of an autonomous vehicle is Google’s autonomous car. This vehicle consists of a collection of systems that work together to allow vehicles to pass through their environment. One of the most important systems is the sensor. Examples of sensors that are commonly used include: Global positioning system, this sensor is placed around a vehicle tire. The way it works is to detect the direction of movement of the tire, whether it is in accordance with the instructions given, that is, the destination has been determined based on the direction map formed by the computer. Video camera, this tool functions as a vehicle’s eyes, where its main function is to detect moving objects such as pedestrians or cyclists. Lidar, is a sensor located on the roof of the car that performs 360-degree rotational movements during driving automatically. The way this sensor works is to make a circular motion to get a visualization of the surrounding environment within a 200 foot radius. From the results of visualization, the computer in the car will process the data obtained to produce 3D maps in real time to the surrounding environment. From here the computer will control the direction of motion of the car by considering the results of the visualization earlier. Radar, radar sensors here function to determine the object that approaches or moves away from the vehicle. This is a more sophisticated sensor than the car parking sensor we know so far.

Studies say that up to 90% of car accidents are caused by human error. Many traffic accidents that occur are caused by drivers who are sleepy, drunk, and drivers who are not feeling well. With the existence of autonomous vehicles, we have high hopes that car accidents can stop being a regular story.

References
Markoff, John. “Google Cars Drive Themselves, in Traffic”. The New York Times 9 October 2011, Global Edition: B1-4
Markoff, John. “Google Lobbies Nevada to Allow Self-Driving Cars”. The New York Times 10 May 2011, Global Edition: B1-2
(2012) “How Google’s Self- Driving Car Works.” IEEE Spectrum. [Online: Web Site]. Available: spectrum.ieee.org/automaton/robotics/
(2012) “Driverless car: Google awarded US patent for technology.” BBC News. [Online: Web Site]. Available: www.bbc.co.uk/news/technology-16197664

Widodo, Arief Setyo dan Putri Taqwa Prasetyaningrum. 2018. “Perancangan Aplikasi Internet of Thing (IoT) Autonomous Pada Mobil.” Yogyakarta : Prosiding Seminar Nasional Multimedia & Artificial Intelligence.
http://imam.mercubuana-yogya.ac.id/arsip/smai%20fti%202018/SMAI%20FTI%20UMBY-2018-6-Perancangan%20Aplikasi%20Internet%20of%20Thing%20(IoT)%20Autonomous%20Pada%20Mobil.pdf