Baidu Selects ON Semiconductor for its Apollo Autonomous Driving Platform
【Summary】ON Semiconductor, a leading semiconductor supplier, has joined Baidu’s open Apollo Autonomous Driving Platform. Through this collaboration, Baidu's Apollo partners can get the plug-and-play compatible imaging solutions jointly developed by both companies.
LAS VEGAS — ON Semiconductor (Nasdaq: ON), a leading semiconductor supplier, has joined Baidu's global, open Apollo Autonomous Driving Platform. Through this collaboration, Baidu's Apollo partners can get the plug-and-play compatible imaging solutions jointly developed by both companies.
ON Semiconductor develops semiconductor solutions for various industries, including automotive applications for active safety and semi-autonomous vehicles, which includes advanced front lighting systems, park assist solutions, cameras, lane departure warning, advanced braking, and collision avoidance systems.
Baidu's Apollo Platform provides an open source, reliable software and hardware system, enabling the efficient development of autonomous driving systems by automotive systems designers. Image sensing is a key component of the Apollo platform which supports enhanced autonomous driving functionality.
ON Semiconductor's 3μm-based advanced CMOS image sensor product provides a foundation for customers to quickly begin development of advanced vision systems for autonomous driving, with the flexibility to upgrade to future sensors at volume deployment. With high dynamic range (HDR), the sensors are able to provide clear single images and video in the challenging low and mixed light scenes synonymous with automotive driving environments.
In addition to a simplified and accelerated implementation of automotive camera applications, the relationship gives Apollo ecosystem members priority access to ON Semiconductor's technical support and product information. As another benefit, all of Apollo's partners will get early opportunities to work with future generation image sensing technologies from ON Semiconductor. So far, over 70 partners have joined Baidu's Apollo Platform, including Ford Motor Co, Daimler, NVIDIA, and Microsoft.
"Given the importance of cameras as sensors for autonomous driving, we considered many aspects in our selection process for the Apollo platform including product roadmap, experience in automotive, and technical support for ecosystem platforms," said Mr. Zhenyu Li, VP and General Manager of Intelligent Driving Group at Baidu. "ON Semiconductor was the right choice for Apollo platform image sensor needs."
Ross Jatou, VP and General Manager of the Automotive Solutions Group at ON Semiconductor said: "We are delighted to be partnering with Baidu on their Apollo platform. We believe that the value of such a platform to Automotive system designers will be tremendous. It is underlined by the number of industry leaders already engaged and looking to utilize it. Image sensors are fundamental components of ADAS (advanced driver assist systems) implementations throughout the vehicle, and they will become even more relevant as the industry moves towards fully autonomous cars. Joining forces with Baidu by providing the image sensor solution for the Apollo platform is further validation of ON Semiconductor's leading position in automotive image sensing."
Baidu's open Apollo Platform was first announced in April of 2017. Baidu now claims one of the largest partner ecosystems for an autonomous driving platform in the world. Baidu's COO Qi Lu called the platform the "Android of the autonomous driving industry, but more open and powerful." Apollo aims to provide developers with tools including training data, APIs, source code and reference hardware to help its partners bring autonomous driving products to market much faster.
Originally hailing from New Jersey, Eric is a automotive & technology reporter covering the high-tech industry here in Silicon Valley. He has over 15 years of automotive experience and a bachelors degree in computer science. These skills, combined with technical writing and news reporting, allows him to fully understand and identify new and innovative technologies in the auto industry and beyond. He has worked at Uber on self-driving cars and as a technical writer, helping people to understand and work with technology.
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