Artificial intelligence (AI) technology encourages great progress in the development of the automotive industry. More than just replacing the role of humans as users, AI is developed in order to improve driving safety.
By
Erika Kurnia from Kuala Lumpur, Malaysia
·4 minutes read
In vehicles, AI can be used in a simple control system. In electric vehicles (EVs) that are developing at this time, for example, AI is generally used for battery management systems (BMS) and vehicle control units (VCUs).
A researcher of the Artificial Intelligence Center of the Bandung Institute of Technology (ITB), Bambang Riyanto Triaksono, said AI technology could replace work that is routine, repeated and relatively simple to formulate. This principle can be applied in many fields of work.
"Artificial intelligence can take over the work of low nature, which does not need high cognitive skills," said Bambang in Kuala Lumpur on Thursday (2/3/2023).
In BMS and VCUs, AI systems that are set in semiconductors, or cip, become important components in EVs’ addition to batteries. The system will help vehicle users know various information, including the visualization of battery usage, charging warnings and monitor temperatures on the battery.
This technology, for example, is being developed by Bambang through the ITB-AI Center together with the National Center for Sustainable Transportation Technology (NCSTT) of the ITB and PT Allied Harvest Indonesia. All three want to commercialize the E-Trike three-wheeled electric vehicles and the E-Bus or electric buses.
The development of AI-based cip for BMS and VCUs will be produced by Betamek Berhad Malaysia in Kuala Lumpur. "This cip design is in line with the plan to integrate autonomous vehicle technology [swakemudi] that is being developed by the AI center," said NCSTT researcher Bentang Arief Budiman.
The AI component can read data from a car computer and inform the user what is wrong with the car.
Betamek Berhad chief operating officer Megat Iskandar Hashim said they had only developed AI-based devices in the last five years. One of the devices made is a long distance diagnostics tool to tell vehicle users problems related to their cars.
"The AI component can read data from a car computer and inform the user what is wrong with the car. For example, the problem of lack of oil and others," said Megat.
The use of AI in the automotive industry will be very beneficial for vehicle owners to prevent damage to their vehicles.
"We can create a maintenance or prevention system so that users know earlier and do not need to guess the condition of the vehicle," he said.
Self-driving vehicles
AI now supports the development of self-driving vehicles. Vehicles can move on their own because they are equipped with a control system consisting of various sensors, such as computer vision and sensor fusion. The existence of the sensor is able to capture traffic images and videos in the car’s surroundings as a moving reference.
Self-driving vehicles are also equipped with a sophisticated navigation system that can automatically adjust the selection of efficient routes to the destination location. The entire basic steering system, such as gas, steering control and braking, can be done systematically and automatically by Electronic Control Unit (ECU) technology.
In general, the technology, which is made for self-driving vehicles, can be divided into five levels, namely semi self-driving vehicles that still need a driver assistant, a partial automation feature, conditional automation, high automation and full automation (Kompas.id, 17/3/2020).
Based on Bambang's research on self-driving trains, AI in vehicles can be applied in two ways: AI can help the machinist be more alert with the occurrence of accidents, or AI can replace the role of machinists with an artificial intelligence control system.
"The idea is that AI can replace a driver who is tired, sick, or without good concentration, which can often cause accidents," said the lecturer of the ITB Electrical Engineering and Information Engineering (STEI).
This technology is already present in Indonesia. Self-driving train models, for example, are present in Communication-Based Train Control (CBTC) technology and Grade of Automation (Goa) level 3 at the Jabodebek LRT that allows it to be operated without a machinist.
It is hoped that by using AI technology, self-driving cars can improve safety.
Automation in four-wheeled vehicles has also been implemented in many foreign countries, but many are still tested. Bambang predicted that the technology in passenger cars would start operating in Indonesia in the next 10 years.
"It is hoped that by using AI technology, self-driving cars can improve safety," Bambang said.