Intel recently acquired Mobileye for $15.3 billion to help advance an alliance between the two companies and BMW, which plans to ship self-driving cars by 2021. Mobileye and Delphi plan to start production in 2019 on their "Central Sensing Localization and Planning" platform for self-driving cars in urban and highway driving conditions. Mobileye, a maker of vehicle vision chip technology ( called EyeQ), also has a strong lead in the mapping and camera sensing market, the report claimed. "Moreover, installed cameras can displace the aftermarket dash-cam video market and record pre-crash images," Johnson wrote.Ĭompanies most likely to capitalize on vehicle big data are automakers that are building from scratch, such as Tesla, which offers a "clean sheet in-car architecture with a solid base of data," and third-party parts suppliers, such as Delphi, which is expected to provide analytics engines for legacy and newly manufactured cars and trucks, Barclays said. Not only can this data be added as layers on top of traditional HD-maps in near-real time, it can also be potentially mined for a variety of insights."įor example, video data could be used to determine how full a store parking lot is at any given time of day and what prices are advertised in a store window, according to Johnson. "Think of millions of Google StreetView vehicles capable of refreshing live views of every street everywhere several times a day. "The car can become a roving data gathering vacuum," Johnson said in the report. "All of this could be recorded, uploaded and used to tailor in-car experiences," the report stated.Įnvironmental data will include information from LiDAR scanners, cameras and other sensors. Otto's self-driving semi-trailer truck hauling Budweiser down I-25 in Colorado.ĭriver/passenger data will include information about the use of infotainment systems, HVAC and seat preferences, and even driving styles (i.e., whether the car is used in a "sporty" fashion versus economic driving). In-vehicle data will consist of historical data, such as vehicle fluid levels, speed and acceleration, GPS positioning and, in the event of an accident, a snapshot of data prior to the crash as well as alerts for first responders. ![]() "Going forward, any or all of this data can be uploaded to the cloud - either in real time via 4G and beyond, someday through home WiFi uploads, or sporadically through service center uploads (as with the original Tesla Roadster," the report stated.Ĭars will produce data related to in-vehicle, environmental, and driver/passenger information. ![]() ![]() In today's vehicles, ECUs are linked by an internal controller area network, infotainment systems and an increasing array of cameras and radars for advanced driver assistance systems that are already creating vast amounts of data that is typically used by automakers, but then discarded.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |