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Rolls-Royce unveils its Autonomous Car Design

Posted by Jason Miles

Jul 5, 2017 7:05:29 AM

The Vision Next 100 has been designed to cater to the most discerning and powerful patrons in the world”. The car has no steering wheel and a silk “throne” from which the car's occupants can watch the world go by. The interior includes a silk love seat, a silk rug and plenty of leg room. There is no steering wheel and no room for a chauffeur, but Rolls-Royce anticipates that some customers will request a steering wheel at some point.

Instead, occupants will rely on a virtual assistant named Eleanor, inspired after actress Eleanor Thornton.

The roof opens along with the door, and occupants will need to stand-up before they step out of the vehicle. A step emerges as soon as the door is opened, and a red light is projected from the step, a feature that mimics a red-carpet.

The Vision Next 100 is certainly unique-looking and the design is guaranteed to attract attention.

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Topics: FPGA, Autonomous Driving

Apple Shows Interest in Machine Learning for Their Autonomous Car

Posted by John Pallazola

Jun 27, 2017 8:27:00 AM

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Topics: machine learning, technology, ADAS, Autonomous Driving

10 Possible Pitfalls of Autonomous Vehicles

Posted by Nadeesha Thewarapperuma

Jun 20, 2017 12:45:19 PM


The hype surrounding autonomous vehicles is almost always positive, and that's understandable. The thought of actually seeing a Jetson's-like vehicle (minus the airborne features) is pretty exciting. It means we're living in the future. Ten years ago, the thought of a self-driving vehicle was just a concept, but already, companies have progressed at alarming leaps and bounds, paving the way for a future filled with driverless vehicles.

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Topics: FPGA, Autonomous Driving

Xilinx Powers Autonomous Cars and other FPGA Applications

Posted by Danielle Leger

Jun 7, 2017 8:52:00 AM


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Topics: FPGA, ADAS, Autonomous Driving

Intel provides a Deeper Understanding of Vehicle ADAS Systems

Posted by Nadeesha Thewarapperuma

May 31, 2017 11:55:04 AM

At this stage, the companies invested in ADAS (Advanced Driver Assist Systems) are more interested in collecting data.

While there are trial runs in place, these are in place to collect data. One of the more invested companies, Intel produces programmable logic devices (PLD), MAX® CPLDs, Cyclone®, and MAX 10 family of FPGAs and SoC, and other devices that can control everything from infotainment to the radar controlled braking systems. Xilinx, alternatively, offers Zynq UltraScale+ MPSoC as well as a plethora of other solutions in the ADAS arena.

Intel provides a brief overview of what the company expects from current ADAS trials.

At this deployment stage, the algorithms behind ADAS systems are designed to capture anomalies and store this information. Each anomaly or unique situation will be analyzed, and an appropriate response will be determined. There are several benefits that come along with having this sort of system in place.


1) The ADAS system will 'learn' the appropriate response for each unique situation.


2) By having different scenarios in place and learning more about the appropriate response to each, the ADAS system can react effectively and quickly in response to other familiar stimuli.


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Topics: FPGA, Autonomous Driving, ADAS

Eight Cutting-Edge Technologies that use FPGA

Posted by Nadeesha Thewarapperuma

May 11, 2017 10:48:43 AM


1) Ultra-fast financial transactions

The hardware behind these systems are enabled using FPGA. When it comes to automated financial trading, your success depends on the speed and accuracy of a transaction. FPGA are used to build systems which enable low-latency.

Xilinx's 7-series FPGA are used to power these systems. The Virtex-7 families, Kintex-7, and Zynq 7000 SoC are used to build financial trading platforms.


2) Machine learning

Image search engines are becoming more sophisticated with each passing day. Search engines are now built using deep neural networks, allowing machines to learn as they go along. Nowadays, image searches are faster and more accurate compared to what had been there ten years ago.

Xilinx's Virtex Ultrascale+ FPGA are used to enable the sophistication required by a heavy-duty machine learning platform.



3) Artificial Intelligence

The task of building a true, sentient being is not easy, but a lot of companies are taking up the challenge. Right now, companies are building robots that are specialized to handle a single type of task. By focusing on one special task, the robot can be built to handle all dynamics around that task, things ranging from different scenarios to learning opportunities.


4) Internal Applications

This goes along with the financial trading platform. Often, companies need software and hardware that is custom-built to meet the company's needs. These specialized systems are built to meet the needs of the company, depending on the budget on hand and the performance level that is required.


5) Healthcare Products

Healthcare will be one of the fastest growing markets in the world. Machines will be used along with healthcare services. Advanced healthcare machines are now built to provide diagnoses, saving patients the time and money of obtaining a second opinion.

Read our recent blog on FPGA use in 2017.


6) Autonomous Vehicles

The hardware behind ADAS systems will also require a high-end FPGA, preferably one that can handle and process large amounts of data in a matter of seconds and then make an accurate decision based on input from the outside world. An ADAS system will also be enabled with deep neural networks, allowing the system to learn from experience.

This is one of the reasons why companies like BMW, Google, Uber and Tesla are relying on hours and hours of prototype driving. As the ADAS system learns, it will know how to react to certain situations.


7) Drone advancement

There's talk that drones should operate so that it's like a flock of birds. Right now, lone drones are sent on high-profile missions, but a single drone is easier to target and eliminate. When there are multiple drones around, it is much easier to complete a mission.


8) Wireless networking

5G systems are already in test phase and will be introduced by the year 2020. 5G systems will be used to enable communication between IoT devices, ensuring speed, accuracy and low-latency.


Are you in the market for FPGA? Search through our index list to see if the part you are looking for is available.


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Topics: FPGA, Autonomous Driving, ADAS, machine learning

4 Popular FPGA Applications for 2017

Posted by Nadeesha Thewarapperuma

Apr 20, 2017 9:51:54 AM


FPGA are taking the tech world by storm. Two years ago, Intel made the move to take over Altera, one of the dominating FPGA manufacturers in the world. Based on the $16.7 billion bet that Intel placed on Altera, we're taking a look at some of the hottest FPGA applications for the current year.


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Topics: FPGA, ADAS, Autonomous Driving, artificial intelligence

Automotive OEMs and Manufacturers use Intel FPGA Arria 10

Posted by Danielle Leger

Apr 10, 2017 9:39:59 AM

Automotive OEMs and manufacturers use Intel FPGA such as Arria 10 Automotive grade FPGAs, to differentiate their automobiles with powerful, cost-effective, flexible design platforms that meet the performance, quality and scalability needs of their intricate digital systems. With our automotive products, you can reduce system costs, improve reliability, and simplify complexity to accelerate time to market.

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Topics: FPGA, ADAS, Autonomous Driving

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