Intel Plans to Build Fleet of 100 L4 Autonomous Test Cars

by Tech Mainstream Staff


August 15, 2017


Intel to Acquire Mobileye


Mobileye, an Intel Company, will start manufacturing a "fleet of fully autonomous (level 4 SAE) vehicles for testing in the United States, Israel and Europe." They will be deployed later this year and will grow to over 100 vehicles.

Geographic diversity is key to implementing Mobile's new automobile fleet, since different regions have various driving styles, different road conditions and signage. By testing and training the vehicles in varying locations, these autonomous vehicles can be deployed anywhere. “Building cars and testing them in real-world conditions provides immediate feedback and will accelerate delivery of technologies and solutions for highly and fully autonomous vehicles,” said Amnon Shashua, soon-to-be senior vice president of Intel Corporation and future CEO/CTO of Mobileye.

Proprietary Mobileye technology will help complete a “car-to-cloud” system which includes computer vision, sensing, fusion, mapping and driving policy, Intel’s leading open compute platforms and expertise in data center and 5G communication technologies.

The combined effort of the two companies will undoubtedly, "almost immediately" produce a standalone fleet of test vehicles.” Another result of this hybrid solution is it will be "demonstrated to current and prospective customers in a real-world landscape, and also serve as a base to interact directly with regulators." It will also introduce mapping and safety validation "which are both geared toward scalability."

Customers are already are the biggest winners in this scenario according to Shashua: “Our customers will benefit from our ability to use this fleet to accelerate our technology development. We want to enable automakers to deliver driverless cars faster while reducing costs – data we collect will save our customers significant costs.”

 

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Arduino is an open-source electronics platform based on easy-to-use hardware and software. It's intended for anyone making interactive projects. Arduino boards are able to read inputs - light on a sensor, a finger on a button, or a Twitter message - and turn it into an output - activating a motor, turning on an LED, publishing something online

Source: https://www.arduino.cc/en/Guide/Introduction/

Augmented Reality is an enhanced version of reality where live direct or indirect views of physical real-world environments are augmented with superimposed computer-generated images over a user’s view of the real-world, thus enhancing one’s current perception of reality.

Source: https://www.realitytechnologies.com/ augmented-reality/

Chatbot is a piece of software that interacts with users in a conversational way.

Source: https://snatchbot.me/insight/250/ intelligent-chatbots


Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence.

Source: http://deeplearning.net/


DevOps is a set of software development practices that combines software development (Dev) and information technology operations (Ops) to shorten the systems development life cycle while delivering features, fixes, and updates frequently in close alignment with business objectives. Different disciplines collaborate, making quality everyone's job.

Source: https://en.wikipedia.org/wiki/DevOps


Docker is a tool designed to make it easier to create, deploy, and run applications by using containers. Containers allow a developer to package up an application with all of the parts it needs, such as libraries and other dependencies, and ship it all out as one package.

Source: https://opensource.com/resources/what-docker


Edge computing is a distributed computing paradigm which brings computation and data storage closer to the location where it is needed, to improve response times and save bandwidth.

Source: https://en.wikipedia.org/wiki/Edge_computing


FogHorn is an intelligent Internet of Things ( IoT) edge solution that delivers data processing and real-time inference where data is created.

Source: https://aws.amazon.com/blogs/architecture/foghorn-edge-to-edge-communication-and-deep-learning/


Hybrid Cloud is a computing environment that combines a public cloud and a private cloud by allowing data and applications to be shared between them.

Source: https://azure.microsoft.com/en-us/overview/what-is-hybrid-cloud-computing/


Kubernetes (k8s) is an open-source system for automating deployment, scaling, and management of containerized applications.

Source: https://kubernetes.io/blog/



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Source: https://en.wikipedia.org/wiki/WWW2


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