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The images are annotated so that a self-driving car can process surrounding objects and signals. In March, Baidu launched an open source dataset within the Apollo platform called Apollo Scape, which is 10x larger in volume than other open source datasets such as Kitti and CityScapes.Īpollo Scape uses semantic segmentation to break down video images by the pixel to allow for granular processing.
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While Baidu has extensive expertise in high-definition (HD) mapping and AI, it lacks driver data that competitors such as Waymo and Tesla have collected from vehicles on public roads.īaidu’s extensive web of partners provides the company with more access to data than the company could have collected on its own, by contributing data to Baidu’s open source dataset as they collect it. This wide net of partnerships has helped Baidu address an area where it lags peers : driver data.ĭriver data - both from road testing and simulations - is critical for developing self-driving technology, as data trains the algorithms that guide the autonomous vehicle. To date, Baidu has amassed over 100 global partners, collaborating with major players across a wide range of verticals including auto parts suppliers, OEMs, chip makers, and tech giants. The Apollo project has gained traction since its inception. Maps, Gmail, and Google Play) from Android’s open source platform, Baidu is also reserving some of its services - such as mapping and machine learning - for an application programming interface under Baidu’s control. It’s also worth noting that similar to Google withholding certain apps (e.g. With an open source approach, Baidu makes it possible for any of China’s auto suppliers to assemble a vehicle with autonomous driving capabilities without having to hike R&D spending. This approach is especially attractive in China’s highly-fragmented automotive supplier landscape.
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With Apollo, Baidu aims to be the brains behind autonomous vehicles, allowing OEMs and auto suppliers to focus on manufacturing, branding, and the relationship with their customers rather than software engineering. The incentive behind Baidu’s Apollo platform mirrors Google’s approach to Android: standardize an operating system across an industry by making it freely available to manufacturers.
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This approach helped Google scale Android rapidly. According to Gartner, Android made up 86% of the global mobile market in 2017, up substantially from 0% ten years earlier. The thought process was, the more third-party apps available, the more appealing phones running on Android software would be for consumers.
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The company used an open source platform in part to make it easier for third parties to develop compatible apps.
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Rather than launching its own smartphone, Google focused solely on software. The idea for AOSP emerged after Apple released its first iPhone, when Google decided it needed to enter the mobile realm to prevent users from switching to another search engine on their mobile devices.
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In many ways, Apollo resembles Google’s Android Open Source Project (AOSP), Google’s open software platform for a mobile operating system (OS) that launched in 2007.
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In April 2017, Baidu launched its Apollo project, an open source platform for autonomous driving software. The platform combines a number of tools - including data, APIs, and open source code - that developers can use for free to bring autonomous driving products to market. The Apollo platform: Android of the auto industry?