Faster of in -vehicle networks that are indispensable for ADAS and autonomous driving, future progress: in -vehicle software (page 1/4)

　Innovation in the automotive industry is progressing at a rapid pace.If the progress in the past 20 years was linear, the most recent two to three years would be exponential.

　In the past, automobiles were a means of transportation from point A to point B, but now cars are no longer mere means of transportation.Almost all new cars on the market are equipped with back monitors, parking support, and blind spot monitoring functions.Some cars provide 360 -degree views.

　In addition, cellular connection functions to obtain information about traffic information, potential dangers, other road users, vehicles, and pedestrians in real time, and are the drivers being distracted or tired?There is also a function to detect.On the other hand, passengers can enjoy the infotainment system without paying attention to the driving status.These functions are provided in combination of sensors, cameras and networks.

　Next -generation advanced driving support systems (ADAS) require more and more high -resolution cameras and radar systems.This means increasing the speed and bandwidth of transmitting networks, switches and data.

　The innovation of automotive technology is accelerating rapidly to respond to advanced in -vehicle technology that operates in data rates exceeding 1 Gbps on existing cable infrastructure.Higher bandwidth and lower delayed network play an important role in responding to complex car technology with time -constrained.

　Many of these requirements can be used with an in -vehicle Ethernet with a bandwidth of 10 Gbps.Considering that some camera requirements are up to 3500Mbps, it is necessary to consider another technology that covers the data.

　To understand the bandwidth requirements, the approximate bit rate calculation method of the video stream listed below is useful.

　In other words, in the case of an ADAS camera that captures 1080p imaging sent in 30 fps with a color depth of 24 bits, the supported bit rate is as follows.

　The table below shows the general amount of data from various sensors related to autonomous driving.

　The evolution of cars is being promoted under various motives.Here are some of the great influence.

　We are forced to use high -bandwidth technology and lighter weight to maximize the efficiency of fuel (or battery).In addition to back monitors, parking support and lane change support, new alerts, passengers, and infotainment systems are born from the demand for ADAS and automatic driving technology.

　In addition, network architects need to understand how to expand vehicles as technology is improved.

　Currently, cars are expected to be used for 10 to 15 years.If a highly cost -effective interconnect solution can provide additional bandwidth support, the high functional, such as ADAS / autonomous driving (AV) required while the user is using the vehicle.You may need to consider the current design so that you can add it.

　Of course, safety is a very important field for vehicle design.If more autonomous driving and ADAS functions are taken over by humans, passengers will be very important.

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