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2019 Global Autonomous Driving Industry Outlook Report Released

Google 우선 소스Published2019.08.26 08:42
By 2030, one in four cars sold worldwide is expected to be a Level 3 autonomous vehicle.
Sensor fusion will play a key role in the development of autonomous vehicles.

Frost & Sullivan Korea released its 2019 Global Autonomous Driving Industry Outlook Report.

If 2018 was a year of significant technological advancements in the autonomous driving (AD) market, focusing on shared mobility platforms, electrical/electronic (E/E) architecture integration, and AD and AI integration, 2019 will be a year of significant progress in autonomous driving technology, with improvements in sensor solutions, L2+ implementation, and remote operation development.

However, with L4 and L5 development and launch expected to take some time, OEMs and Tier 1 suppliers are strengthening L2+ features that can add value to the ADAS market, and at the same time, by 2030, L4 will be driving growth, with one in four cars sold globally expected to be autonomous (L3 or higher).

“Sensor fusion will play a key role in the development of autonomous vehicles, and the transition from individual sensor processing to sensor fusion will be achieved through raw sensors or smart sensors based on E/E architecture,” said Jinhan Shim, Director of Frost & Sullivan Korea.

He also noted that the introduction of L2+ and L3 capabilities will create opportunities to integrate multi-core ADAS domain controllers.

This can reduce the amount of wiring, facilitate high-speed communication and data transmission, and reduce structural complexity and chassis weight.

Frost & Sullivan Korea recently announced the '2019 GlobalThe 'Global Autonomous Driving (AD) Industry Outlook, 2019' highlights key market and technology trends that will shape the future outlook.

From a business perspective, the study delves into the impact of autonomous driving, focusing on data monetization and personalization as industrial evolution evolves. From a technical perspective, the study focuses on the development requirements from a platform perspective for sensory data fusion and the establishment of a computational ecosystem. Furthermore, it forecasts vehicle market share by autonomous driving level.

Director Shim Jin-han stated, "Autonomous driving will not only focus on generating revenue through new downstream services, but will also impact existing business models by introducing mobility platforms. As it evolves to Level 5 autonomous driving, the industry will shift its focus from car owners to car users. Going forward, vehicle platforms must be designed with mechanical and electrical redundancy in mind to facilitate easy expansion to Level 4/L5."
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