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The main bottleneck of smart cars: insufficient perception and data processing capabilities

The main bottleneck of smart cars: insufficient perception and data processing capabilities

Liu Tong, general manager of NVIDIA's Automotive Division in China, said that in autonomous driving, smart cars are not only autonomous driving, automatic driving is only one of its functions. In addition to automatic driving, automatic driving plus in-car intelligence or intelligent cockpit form the concept of intelligent driving in the future.

The main bottleneck of smart cars: insufficient perception and data processing capabilities

Huang Jun, founding partner of Potential Energy Capital, introduced the capital situation of the industry. From the investment stage, we found that there are two characteristics: First, angel rounds and A rounds of financing will be more. Second, although there are companies that have gone to the D round, there are still more opportunities for core components and automotive chips in the upstream of the entire industry chain. The investment is probably mainly concentrated in the fields of internet of vehicles, autonomous driving, and intelligent cockpits.

The main bottleneck of smart cars: insufficient perception and data processing capabilities

At present, the automotive industry track has more opportunities for reshuffling and reconstruction, this opportunity is now several needs to hit a point, so this opportunity will be very large, the first demand is domestic brands, independent brands market share increase. The second comes from the trend of electrification, where their suppliers will change. The third is to change from cost-driven to R&D capability-driven, and the type of supplier has also changed. The fourth OEM has the opportunity to innovate.

Beijing

Wang Xuesi of Wanji Company brought the market demand for the lidar market, first of all, the requirements of the lidar itself, that is, intelligence and high performance, and then to ensure reliability and cost controllability.

The main bottleneck of smart cars: insufficient perception and data processing capabilities

InBev Supercomputing Wu Hao believes that the main bottleneck of smart cars at present lies in the perception technology and massive data processing technology, which cannot be solved by a company, and if it wants to break through, it is necessary to do a lot of basic research and industry ecological cooperation.

Regarding the future development of the automotive industry, Beijing Wanji Wang Xuesi shared some personal views, first of all, the transformation of the automotive industry, from the original product definition to the scene definition of the car; then to the digitization, which is a very important trend in the future; the third is the breakthrough of the underlying technology. (Text: Pacific Auto Network Yayong)

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