At present, artificial intelligence has become the mainstream of global development. As one of the core hotspots, automated driving has attracted the attention of major technology companies in the world and traditional auto giants. As the Russian search giant Yandex enters the field of autonomous driving, as a peer in the search industry, Baidu is no longer "lonely." Judging from the current situation, Baidu is undoubtedly the one with more advantages.
Recently, according to foreign media news, the Russian search giant Yandex first exposed Yandex.Taxi, an autonomous vehicle developed for on-demand service.
Yandex said the company is developing navigation and positioning systems with computer identification and machine learning capabilities, including Yandex.Navigator and Yandex.Maps.
In addition, Yandex will also cooperate with Nvidia to upgrade its self-driving cars. The displayed Yandex.Taxi is not yet completely on the city street, saying that if all goes well, it will complete road tests within a year and bring autonomous vehicles to market.
Coincidentally, it is not just the Yandex family that search giants are investing in self-driving cars. As one of the world's largest search companies, China’s Baidu Company has also invested heavily in the field of self-driving cars and has made some progress. Compared with Baidu, Yandex is just just getting started.
Since Baidu unified its future development direction into artificial intelligence, it has continuously increased its investment in areas such as autopilot, and it has been frequently used. Prior to this, Baidu integrated various resources to form a smart driving business group. Lu Qi, the president of Baidu Group, personally served as general manager, showing that Baidu paid great attention to the development of self-driving cars.
On April 19, 2017, in a small conference room at the Shanghai Auto Show, Lu Qi, President and Chief Operating Officer of Baidu, unveiled a plan called "Apollo", which will be used in the automotive industry and autonomous driving. The partners provide an open, complete, and secure software platform that helps them quickly integrate a vehicle and hardware system to build a complete autopilot system of their own. This news triggered a huge sensation.
In fact, despite the increasingly fierce competition in the field of automated driving, there is a very high threshold in this area. The actual difficulty is far more challenging than the concept of manufacturing, and it requires practical work that is down to earth and dares to break through. Among these, mature artificial intelligence is a prerequisite for achieving high-level automatic driving. Baidu's big data foundation and a software team that specializes in data analysis and algorithm design give it unique development advantages in the field of artificial intelligence. Relying on Baidu's long-term accumulation in the fields of artificial intelligence and deep learning, Baidu's unmanned vehicle integrates top-notch technologies ranging from environmental awareness and behavioral prediction to planning and control, high-precision maps, and high-precision positioning.
Baidu Smart Auto Business Unit has positioned itself as a leading provider of automated driving solutions in line with the strategic concept of the "Apollo" program, focusing on the development of three types of automated driving solutions for specific scenarios: First, highway driving scenarios; Second, automatic valet parking scenarios; third, automatic driving of trucks or commercial vehicles.
Judging from the current public information, Yandex's initial development direction should be the subdivided area of ​​self-driving taxis, but even so, Yandex, as a latecomer, does not have any leading edge in technology, and it is also difficult to wait for Uber to wait. Giants in the field competed against each other.
While Baidu has a complete layout and development strategy for artificial intelligence, as well as a deep foundation of big data resources and technologies, Baidu will undoubtedly be a leader in the search giant's transformation into autonomous driving.
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