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News Article
Site: www.greencarcongress.com

« PHEVLERs are the Zero CO2 Clean Green Machines of the Future | Main | Adgero introducing ultracap-based KERS for semi-trailers » Baidu, Inc., China’s leading search engine, has formed a self-driving car team in Silicon Valley focused on research, development and testing. The team will be part of Baidu’s newly-created Autonomous Driving Unit (ADU). Baidu plans to grow the team to more than 100 researchers and engineers by the end of the year. The team will include machine-learning researchers as well as hardware and software engineers across a variety of technical domains, from robotics and computer vision to onboard computers and sensors. Additionally, the company is looking for individuals with experience in the automotive industry. The Silicon Valley team will be known as ADU-US. It will focus on areas integral to self-driving car development, including planning, perception, control and systems. ADU-US will work alongside Baidu's existing Silicon Valley-based teams, including Baidu Research. Baidu’s self-driving car vision is based on an incremental approach, which includes starting with small “autonomy-enabled” regions and designing autonomous cars to be clearly recognizable.


« First electric bus customers for new UQM PowerPhase DT heavy-duty drivetrain pilot program | Main | Cummins and Peterbilt to team up on SuperTruck II » At the Baidu World Conference in Beijing, Baidu CEO Robin Li together with NVIDIA CEO Jen-Hsun Huang announced a partnership to use artificial intelligence (AI) in the creation of a cloud-to-car autonomous car platform for local Chinese and global car makers. NVIDIA and Baidu have a long history of working together on AI. The latest addition to their partnership will combine Baidu’s cloud platform and mapping technology with NVIDIA’s self-driving computing platform to develop solutions for HD maps, Level 3 autonomous vehicle control and automated parking. We’re going to bring together the technical capabilities and the expertise in AI and the scale of two world-class AI companies to build the self-driving car architecture from end-to-end, from top-to-bottom, from the cloud to the car. Developing a fully autonomous car is an end-to-end systems problem—from the in-car computer to AI algorithms to an always-updated 3D map in the cloud, Jen-Hsun said. In the Baidu World expo, NVIDIA demonstrated DRIVE PX 2 (earlier post) and its DriveWorks software to showcase what goes on inside the brain of the autonomous car. Earlier this year, Baidu formed a self-driving car team in Silicon Valley focused on research, development and testing. The team will be part of Baidu’s newly-created Autonomous Driving Unit (ADU). Baidu plans to grow the team to more than 100 researchers and engineers by the end of the year. (Earlier post.) The solution created with Baidu will be available to local Chinese automakers as well as global brands.


News Article | April 28, 2016
Site: cleantechnica.com

While it’s now widely realized that Google has been putting substantial amounts of its money into the development of autonomous driving technology over the last few years, it’s probably far less widely known that the Chinese equivalent of Google — Baidu, the top search engine company in China — has begun to do so as well. Late last week, the company announced that it had formed a new self-driving vehicle team to be based in Silicon Valley — right in the same general “neighborhood” as Google, interestingly. The new team will be focused on the research, development, and real-world testing of autonomous technologies, according to a new press release. The team will function as a constituent of Baidu’s newly-created Autonomous Driving Unit (ADU), and will be expanded to include more than 100 researchers and engineers by the end of 2016. “Baidu is fully committed to making self-driving cars a reality,” stated Jing Wang, SVP of Baidu and General Manager of Baidu’s Autonomous Driving Unit. “Autonomous vehicles will save lives and make transportation more efficient. Baidu’s Silicon Valley car team will play a significant role in building the car of the future.” The press release provides a bit more: The team will include machine learning researchers as well as hardware and software engineers across a variety of technical domains, from robotics and computer vision to onboard computers and sensors. Additionally, the company is looking for individuals with experience in the automotive industry. …The Silicon Valley team will be known as ADU-US. It will focus on areas integral to self-driving car development, including planning, perception, control, and systems. ADU-US will work alongside Baidu’s existing Silicon Valley-based teams, including Baidu Research. Baidu’s self-driving car vision is based on an incremental approach, which includes starting with small “autonomy-enabled” regions and designing autonomous cars to be clearly recognizable. That last bit sounds a bit foreboding to me — that sort of desire to make autonomous vehicles, and electric cars as well, stand out seems to consistently result in ridiculous-looking vehicles. Hopefully they exercise some restraint on that count.   Drive an electric car? Complete one of our short surveys for our next electric car report.   Keep up to date with all the hottest cleantech news by subscribing to our (free) cleantech newsletter, or keep an eye on sector-specific news by getting our (also free) solar energy newsletter, electric vehicle newsletter, or wind energy newsletter.  


Dural E.,ADU | Yetmez M.,Zonguldak Karaelmas University | Uzhan T.,KSB Pompa Armatur San.ve Tic. A.S
Composites Part B: Engineering | Year: 2014

Laminated curved glasses as widely used elements in buildings urge to develop a mathematical model for their analysis and safer design. Large deflection theory is necessary in order to predict the true behavior of a laminated curved glass beam consisting of several glass layers bonded by soft interlayer PVB (PolyVinyl Butyral). In the present study, a mathematical model is developed for the analysis of a laminated circular arch or a laminated uniformly curved glass beam which is the special case of the laminated curved glass beams. Thus, three nonlinear, coupled partial differential equations governing the true behavior are derived in polar coordinates by applying variational and energy principles. Results of this model are compared with the results from the experiments and finite element model, and all of them are presented in figures to explain the true behavior. © 2013 Elsevier Ltd.


News Article | April 24, 2016
Site: www.techtimes.com

On March 15, Baidu's Chief Scientist Andrew Ng revealed that China's leading search engine company is looking into expanding its autonomous car business -- just like Google -- and that it has set its sights on testing its self-driving car in the United States. True to its word, the Chinese company announced on April 22 that it has already formed a self-driving car research, development and testing team, launching its R&D Center in Silicon Valley, very close to Google's office. "Baidu is fully committed to making self-driving cars a reality [...] Baidu's Silicon Valley car team will play a significant role in building the car of the future," Jing Wang said, Baidu's senior vice president and general manager of the Autonomous Driving Unit (ADU). The new team, which Baidu aims to grow to more than 100 engineers and researchers before 2016 ends, will be called the ADU-US and will focus on control, planning, operations and systems development of the company's autonomous cars. The ADU-US already has its Software Architect in Liang Heng, a Stanford University Ph.D. holder in Electrical Engineering who was originally hired by Tesla as part of the Autopilot Team. Prior to his five month work at Tesla, Liang Heng worked at Google as part of the Google Map Street View Team, giving him a good grasp of the subject and an idea of what could and could not be done for autonomous vehicles. Chief Scientist Andrew Ng was also a part of Google prior to hopping over to Baidu. Ng founded and led Google Brain, a project aimed at cracking deep learning techniques to improve Artificial Intelligence, so there is also much that he can contribute to Baidu. With the very skilled leaders that Baidu has put in place for its ADU-US team, it is only a matter of time before it reaches its goal of hiring 100 engineers and researchers. "Hiring for Baidu has been easier than I'd expected [...] A lot of engineers have always wanted to work on AI. ... My job is providing the team with the best possible environment for them to do AI, for them to be the future heroes of deep learning," Ng said in an interview. © 2016 Tech Times, All rights reserved. Do not reproduce without permission.

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