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In Part 2, we asked the engineers involved in development about what Murata is doing to develop sensors with even higher safety and reliability for self-driving cars.
The era of self-driving cars traveling on city streets is fast approaching. There are great expectations for the practical application of self-driving cars as solutions to many social issues, such as securing safe means of transportation, and reducing traffic congestion and accidents. However, it is not easy to replace the advanced driving skills of a human driver with those of computers and artificial intelligence.
To achieve this, it is essential to introduce cutting-edge technology.
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Noise suppression technologies/case study introduction (Consumer)
The number of sensors used is increasing due to IoT and the electrification of automobiles. At the same time, when noise infiltrates the sensors, it leads to device malfunction.
This section discusses noise problems in sensors and suppression methods.
Noise suppression technologies/case study introduction (Consumer)
The number of sensors used is increasing due to IoT and the electrification of automobiles. At the same time, when noise infiltrates the sensors, it leads to device malfunction.
This section discusses noise problems in sensors and suppression methods.
Noise suppression technologies/case study introduction (Consumer)
The number of sensors used is increasing due to IoT and the electrification of automobiles. At the same time, when noise infiltrates the sensors, it leads to device malfunction.
This section discusses noise problems in sensors and suppression methods.
