AI Enables Various Technologies to Develop ADAS
Emerging adoption of smart and connected devices within automotive industry is providing various opportunities to the autonomous driver assistance system (ADAS) market. Time is not far when these systems will move from advanced to much sophisticated systems and will be capable to negotiate at a point where human and machine based drivers will meet.
The ADAS in these vehicles comes with the advantage of various sensing modalities that can detect risks more quickly than humans. To avoid the misunderstanding between human drivers, these systems can communicate with each other. For the better performance, systems will study the behavior of human drivers by using the artificial intelligence.
Mainly, autonomous driving is not only about the personal vehicles but also about the public transportation too. According to the Fatality Analysis Reporting System of National Highway Traffic Safety Commission, deaths of 18,250 drivers in the U.S. were noted in 2018. And if implemented well, the autonomous driving systems will make many drivers jobless but will definitely help to reduce the fatalities happening on the road.
In November 2019, Janet Bigelow of Advanced ADAS Calibration Centers (AACC) stated, "Advanced Driver Assistance Systems (ADAS) are improving the safety of U.S. roads, but it's important to understand that they are incredibly sensitive and must be carefully scrutinized post-collision".
As per the report of the Insight Partners on Automotive Artificial Intelligence, rising trends for self-driving vehicle, growing adoption of ADAS, and government regulations regarding vehicle safety are some of the major factors that will drive automotive artificial intelligence market.
Many major companies including Daimler AG, Ford Motor Company, General Motors Company, Intel Corporation and NVIDIA Corporation are already engaged in the market. Also, many companies are using strategic ways by collaborating with another to fulfil their needs.
In last quarter, Synopsys collaborated with Samsung Foundry to deliver comprehensive automotive chip design solutions to meet target automotive safety integrity levels (ASILs) for autonomous driving and ADAS. On the occasion, Sassine Ghazi, General Manager for the Design Group at Synopsys said, "Achieving the target safety requirements requires innovative, comprehensive and reliable automotive solutions that fulfill our customers' needs."
But, on the other side, the system will need huge data from various sources to work properly, there will be concern of the data privacy. Also, manufacturers are facing challenges to maintain the balance between cost and quality and it will be another restraining factor that may harm the market.
Neha writes articles on sectors including medicine, food, materials, and science & technology. A qualified statistician, she has the ability to observe and analyze the trends in global markets and write compelling articles that help CXOs in decision making. She is a bookworm and loves to read fiction, lifestyle, science and technology. Neha comes with 6 years of experience in content writing and editing that involves blog writing, preparation of study materials and OERs.