VSI In the News

Intel’s EyeQ 5 vs. Nvidia’s Xavier: Wrong Debate

Phil Magney, founder and principal advisor for Vision Systems Intelligence (VSI), told EE Times that both Intel and Nvidia “are making a bigger deal out of this than may be necessary.” While all this specsmanship was originally about the power efficiency of the rival SoCs, Magney said, “I would expect most L4/L5 vehicles are going to have electric powertrains so the wattage may be a moot point.”

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Rise of Adaptive Driving Beam

Phil Magney, founder and principal advisor for Vision Systems Intelligence (VSI), told EE Times, “I do take an interest in Adaptive Driving Beam even though it is not directly related to automated driving. What is interesting is that ADB requires the same resources as the safety systems, most notably the front facing camera.”

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Velodyne Pads Lead in Lidar Derby

Phil Magney, founder and principal advisor for Vision Systems Intelligence (VSI Labs), noted, “Lidar’s advantage over other sensors is for every point you have a precise distance measurement. However, the problem with lidar is its relatively low resolution or its ability to distinguish colors.”

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Waymo, Navya Vie In Robo-Taxi

Phil Magney, founder and principal advisor for Vision Systems Intelligence (VSI Labs), told EE Times, “The rollout is not too surprising, considering the string of news about Waymo lately.”

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Renovo Develops Robocar-Cloud OS

Phil Magney, founder and principal advisor for Vision Systems Intelligence (VSI), believes that Renovo has “a pretty compelling solution that helps bridge some of the gaps in the cloud eco-system.” He added, “The biggest and most ambitious of them is the openness that will take mobility services from a walled garden to an open eco-system.”

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Elektrobit Targets ECU Overload in Cars

According to Phil Magney, “Adaptive AUTOSAR represents a new architecture that will be necessary to support the software-defined functionality of new vehicles.  And to function properly, highly automated vehicles require number-crunching algorithms that will rely on “services” and “data” while at the same time retain the proven dependability of classic AUTOSAR components.”

Case in point are software defined applications where the vehicle periodically receives new software to enable new applications or improve the performance of existing applications.  While this feature is a nice to have now, highly automated vehicles (L3+) will require this approach.

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Nvidia Outpaces Intel in Robo-car Race

Phil Magney, founder and principal advisor for Vision Systems Intelligence (VSI), said, “Nvidia is developing and learning just like everyone else.” However, he added, Nvidia has “put a lot into developing automated vehicle technologies and their efforts are beginning to pay off.  They have essentially democratized AI in automotive, which is to be commended considering the auto industry's position on AI up until now.”

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DeepScale on Robo-Car: Fuse Raw Data

Phil Magney, founder and principal advisor for Vision Systems Intelligence (VSI), called DeepScale’s approach “very contemporary,” representing “the latest thinking in applying AI to automated driving.” “The DeepScale solution enables OEMs and tier ones to build out an AI-based environmental modeling solution without having to train their own networks and write their own algorithms,” he summed up.

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Self-driving car technology (FOX 9 TV - VIDEO)

Local Fox News affiliate pays a visit to VSI to see what is up with its research on self driving cars. Specify, they wanted to show theirviewers what a local company is doing in the emerging AV field and get a ride in VSI's own developmental autonomous vehicle.   

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Twin Cities company develops tech for self-driving cars (KARE 11 TV - VIDEO)

"Exactly, we do it more than we think but understand the technologies going into these cars are a little bit different than the technologies that go into your phone or computer. This has all sorts of failsafe technologies back ups systems, redundant systems and so forth. It's very stable, very hardened," Magney said

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Robo-car Early-Birds Flock Together

Phil Magney, founder of VSI Labs, said that VSI's event illustrated the “changing balance of power” in the new field of automated vehicles (no longer dominated by big auto), while proving that “the ecosystem of new mobility has many new constituents.”

EE Times thumbnails a few VSI discoveries, what we overheard at the event, and brief interviews with a few of the movers and shakers in the autonomy world. 

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Driverless future gets put to the test at St. Louis Park event

Featuring rides in semi-autonomous vehicles and presentations about the technology, the event came amid a growing conversation in Minnesota about the challenges and opportunities of self-driving cars. It was hosted by VSI Labs, a St. Louis Park-based consulting firm that researches and tests self-driving technology.

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Self-Driving Cars Hit The Road In St. Louis Park (KSTP TV - VIDEO)

Technology you used to see only in movies is now hitting the streets of St. Louis Park. In fact, if you see what appears to be a very inattentive driver in the west metro, in actuality, he may have just been letting his self-driving car do the work. "I do this every day for work now," said 24-year-old Matthew Linder while sitting in the driver's seat of a retrofitted Kia Soul. 

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St. Louis Park-Based VSI Develops Tech For Self-Driving Cars (WCCO TV - VIDEO)

Something once found only in science fiction is quickly becoming a reality on American roads. And while one Minnesota company doesn't make self-driving cars, it does make some of the technology making it possible. 

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Siemens Doubles Down on Automotive Simulation

Phil Magney, founder and principal advisor for Vision Systems Intelligence (VSI), told EE Times, “This is pretty important acquisition for Siemens because simulation is such as important element of automated vehicle solutions.” He believes that the Tass portfolio “helps companies at various phases in the development of automated vehicle functions.” 

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Intel Probes Man Machine Trust

L4 Trust “is where the challenges lie for human trust, and trust concerns not only the passengers, but surrounding actors as well (passengers in other vehicles, pedestrians on foot, cyclists, etc.).” according to Phil Magney of VSI.  Magney is saying that the automotive industry will need several iterations of trial and error before it can build a reasonable in-vehicle trust with passengers. When it comes to out-of-vehicle trust, though, nothing is ready yet.

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Ford Motor Company: Data and the future of autonomous vehicles

The technology needed to bring autonomous vehicles to life is complex. For example, the following market landscape, from Vision Systems Intelligence, includes these components: Processing, Sensors, Connectivity, Mapping, Algorithms, Security/Safety, and Development Tools.

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Security a Must for Auto GbE Switch: Marvell to roll out 'purpose-built' switch for automotive

VSI’s Magney called the IEEE effort “very important.” IEEE 802.3ch is an amendment to IEEE Standard 802.3 which addresses physical layer specifications and management parameters for greater than 1 Gb/s Automotive Ethernet. “802.3 does not currently support rates greater than 1 Gb/s in the automotive environment,” he noted.

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Fatal Tesla Crash: That’s Not All, Folks

VSI’s Magney was most impressed with Tesla’s Over-the-Air (OTA) capabilities. He noted, “Based on our examinations, it is my opinion that the Tesla vehicle architecture is a proxy for future vehicle platforms.” He noted, “Albeit Tesla is a maverick in this space, their OTA architecture plus event handling and data recording is vital for proper Autonomous Vehicle management.”

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Nvidia Deals Tilt Robo-Car Race

VSI is currently engaged in developing an automated vehicle for its own research purposes. Magney said, "The development of AV functions is very difficult, as we are learning for ourselves. Stitching together all the code bases, synchronizing sensors, calibrating torque signals, controlling latencies, etc. takes massive investments in engineering resources."

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Elektrobit und NXP kooperieren beim autonomen Fahren

"Die Entwicklung automatisierter Fahrzeugfunktionen ist aus vielen Gründen sehr anspruchsvoll. Eine der anspruchsvollsten Aufgaben ist die Zusammenführung von Software-Komponenten mit der Zielplattform. Die Verfügbarkeit von robinos für die BlueBox bedeutet, dass Anwendungen über die offene Schnittstellenspezifikation auf der Hardware ausgeführt werden können. Das spart Zeit und ermöglicht eine zuverlässige Funktionalität ", sagte Phil Magney, Gründer von Vision Systems Intelligence (LLC).

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Elektrobit and NXP Join Forces on Automated Driving

"One of the most challenging tasks for automated vehicle development is interfacing software components with your target platform. The availability of EB robinos for NXP’s BlueBox means that applications can be run on the hardware via the EB robinos open interface specification. This saves time and enables a proper buildup of functionality,” said Phil Magney, founder and principal advisor at Vision Systems Intelligence, LLC.

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TI's Shrewd Robo-Car Strategy

Phil Magney, founder and principal advisor for Vision Systems Intelligence (VSI), noted, “TI does not subscribe to massive architectural overhauls.” He pointed out, “For TI, it is all about incremental ADAS features which become the enablers to automation. TI is not concerned with L4 and L5 at the moment. In time their architectures will support advanced levels of automation but for now they are targeting automotive safety and convenience features because that is where the money is.”

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Toyota Going Open-Source in '18 Camry

Danny Kim, a director and partner at Vision Systems Intelligence (VSI), partly agreed. He noted, “AGL’s regional dominance would likely be limited to Asia (or Japan) at the beginning, just like Genivi was to Europe.” However, he described Toyota’s announcement as “a significant endorsement for the standard to be successful as any standardization needs to be led by a major OEM.”

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Robo-car Redraws Auto Landscape

Magney likes to analyze the autonomous vehicle platform at a more granular level, though, by breaking it into chunks, which he describes as “AV (autonomous vehicle) stacks.” AV stacks include pieces like perception, localization/planning, decision/behavior, control and connectivity & I/O, according to his definition. Pushing each of these AV stacks are often major chip companies, said Magney. “And they drive partnerships.”

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Toyota Selects Nvidia, Intel Feels Heat

Phil Magney, founder and principal at VSI (Vision Systems Intelligence), told EE Times that among Nvidia's growing list of automotive partners, some are pilot programs while others are in production. “In the case of Toyota this is a production deal to use the Drive PX (or elements of it) to improve automation and safety in future vehicles.”

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Baidu Battles Google in Robo-Car Derby

"Baidu could have millions of autonomous vehicles using their cloud based Automated Vehicle platform,” Magney said. “Their platform essentially becomes the operating system for managing seas of vehicles sort of like the ‘Internet of Vehicles,’ allowing autonomous vehicles to move seamlessly together.

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Taiwan Eyes Automotive Market

Magney doesn’t think there will be a major disruption in the supply chain. He said, “The big tech companies have been turning to traditional auto suppliers lately for their integration of safety critical systems or other challenging elements of building a vehicle. Taiwan needs to build the integration of safety critical components and strict functional safety practices. Sure, Taiwanese companies may move up the value chain and have the capacity to handle safety elements out of context (SEooC), but a complete system is another matter.”

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Unresolved Issues Facing Robo-Cars

VSI believes AI has the ability to train driverless cars to behave more like people who sometimes, counterintuitively, use “a little bit of aggression to enable an opening to merge into, for example.  Furthermore, data will remain “a big gap.” For AI to be acceptable you need enormous amounts of data to train your behavior models. You can go about collecting as much as you can but you are still not going to be able to test for all edge cases, nor would it be feasible in a safe way. So you have to turn to simulation data in this case.

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Renesas ‘Opens’ Autonomy for Cars

Renesas Electronics emerged from a prolonged silence with a bang Wednesday morning (Japan time), heralding the launch of Renesas Autonomy, a newly-designed advanced driving assistance systems (ADAS) and automated driving platform. VSI explained, “It is a collection of all the processing nodes that make up the ‘AV (automated vehicle) Stack.’ In the case of Renesas they already had some good assets going in to this with their vision IP, their safety controllers, and their diverse collection of eco-system partners.”

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Daimler, Bosch have chosen Nvidia as their partner

The Daimler – Bosch deal announced earlier this week, however, has brought some clarity. Daimler and Bosch said Tuesday (April 4) that they’re partnering to accelerate the production of "robo-taxis.” VSI states, "the building blocks for automation are out there as the push from the tech community has shown. The real challenge is the integration into a total automotive ready platform. There are so many domains within the AV Stack (perception, behavior, control and safety) and nobody owns all those pieces. This is why we see a flurry of activities related to centralized domain control for highly automated driving."

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Mentor in Robo-Car Race with Mobileye, Nvidia

Mentor is rolling out an automated driving platform called DRS360, designed to “directly transmit unfiltered information from all system sensors to a central processing unit, where raw sensor data is fused in real time at all levels,” the company said. Phil Magney, founder & principal advisor at Vision Systems Intelligence, told us, “Sensor fusion is a complex task and doing it with RAW data makes it even harder.” Raw data fusion, Magney explained, enables consolidation of computing resources into a centralized systems more efficiently, despite greater challenges in algorithm integration.

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Uber Rollover in Arizona Points to More Testing

Uber Technologies grounded all of its driverless cars deployed in pilot programs in Tempe, Arizona, Pittsburgh and San Francisco, after a crash Friday in Arizona. “As a general rule, autonomous vehicle systems have to get exposed to as many scenarios as possible. Some of this is only practical in simulation as this situation points out.” 

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Intel Rocks World with $15B Mobileye Buy

As Mobileye’s Dagan explained, autonomous driving needs two complementary technology solutions. One is something like the black box Mobileye has developed for computer vision. Mobileye added more logical layers while the solution itself has become a less configurable and less open computing platform. It’s dense and more power efficient.

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9 Startups with Self-Driven Future (Maybe)

Until 10 days ago when Ford announced a $1 billion investment in Argo AI (Pittsburgh), it was just another anonymous tech startup. And it was really new. Argo AI was founded only last November by two AI robotic experts (Bryan Salesky originally from Google, and Peter Rander from Uber). The company cleverly avoided notice entirely, until Ford came calling.

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Are we getting HMI issues right?

The U.S. National Highway Traffic and Safety Administration (NHTSA) has found no defects in Tesla’s Automatic Emergency Braking (AEB) and Autopilot systems. But was that ODI finding, that “braking for crossing path collisions… are outside the expected performance capabilities of the system,” well understood by Tesla drivers?

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What Driving Policy means for autonomous cars

At CES 2017, Mobileye’s co-founder, CTO and chairman Amnon Shashua, has discussed the “three pillars of autonomous driving”–namely, sensing, mapping and driving policy, and how the company is addressing all three. Shashu defined “Driving Policy” as based on “deep network-enabled reinforcement learning algorithms.”

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Predictive vs reactive: Robo-car trends at CES 2017

How best to apply AI for safety in automated driving is a major conundrum for researchers and design engineers the world over. Gil Pratt, CEO at Toyota Research Institute, said his team is working on two tracks of research called Guardian—which basically assists the driver in situations that require quick response—and Chauffeur, which is closer to autonomous driving.

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Facet Technology Launches Its Safe and Secure LiDAR™ Crosstalk Elimination Licensing Program

Industry expert Phil Magney, Founder & Principal Advisor at Vision Systems Intelligence, says “There is a growing awareness in the industry of the LiDAR crosstalk problem. Suppliers are trying to determine the safest and most cost-effective means to manage this issue. Quanergy has announced that they are taking a leading position in solving this problem by leveraging a multi-bit encoding technique for their 2017 solid state product.”

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'Open Source' Robo-Car in '17?

The year 2016 opened the door to a new phase of highly automated driving, moving the discussion away from “wouldn’t it be nice-to-have-a-robo-car” to a more immediate “to-do list” with which regulators, car OEMs and technology companies must grapple if they hope to make self-driving cars commercially viable and safe.

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New Software Aims to Speed Development of Autonomous Cars

A global automotive supplier thinks carmakers are wasting too much time developing software that runs autonomous technology. In working with clients, engineers at Elektrobit, a subsidiary of Continental, say automakers have become adept at creating stand-alone features like adaptive cruise control and active lane-keeping assist.

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