Glasses could prevent motion sickness in self-driving cars

Daily Mail

Self-driving cars promise to be the transportation of the future, but one old-world problem could throw a wrench in the whole experience: motion sickness. It's likely that riders in self-driving vehicles will pass the time reading a book, checking their phone or watching a movie while they sit in an autonomous car - but, these activities all increase the likelihood of getting motion sick. University of Michigan researchers have developed a pair of prototype glasses that could prevent motion sickness in self-driving vehicles. The glasses sit on the bridge of the wearer's nose and have a built-in'light array system' to prevent motion sickness. The lights help to prevent nausea by mimicking the car's movement About half of adults struggle with motion sickness when they read a book in a moving vehicle.

Half of new cars sold by 2040 will be electric - Khaleej Times


There will be three million electric passenger vehicles on the road globally by the end of 2018, and by 2040, over half of new car sales will be electric, according to a Masdar report on transport solutions for future cities. The report titled'Technologies for Future Smart City Transit' was brought out by Masdar in collaboration with Bloomberg New Energy Finance (BNEF) on Wednesday at the Abu Dhabi Sustainability Week. The report predicts that new technologies such as electric and autonomous vehicles, the Internet of Things, data analytics, blockchain and'smart roads' will provide the building blocks to revolutionise urban transport over the next two decades. And countries with a relatively new urban transport network, such as the UAE and other Gulf states, may have an advantage over other countries because their transport infrastructure is newer and less sprawling - meaning it is easier to update and integrate with emerging digital technologies. Yousef Baselaib, executive director of sustainable real estate at Abu Dhabi Future Energy Company (Masdar), said: "Urban transport is reaching a crossroads as emerging technologies come together, placing us on the cusp of a step-change which could revolutionise the sector, making it safer, more efficient and environmentally sustainable.

GM introduces a self-driving car without a steering wheel


For 110 years, General Motors has been making cars with steering wheels and pedals. The carmaker's self-driving arm, Cruise Automation, on Friday unveiled the latest version of its autonomous vehicle -- and the manual controls have been removed. Cruise, which is based in San Francisco, expects to test the modified Chevy Bolt next year. Eventually, it should serve in ride-hailing services in cities across the U.S. The autonomous cars currently being tested by major companies still have manual controls. But because the new GM vehicle is fully autonomous, the company says there is no need for manual controls, such as a steering wheel or accelerator and brake pedals.

Ford-backed self-driving car in crash that sent two to hospital


A self-driving test car from Ford-backed startup Argo was involved in an accident on Wednesday that sent two people to hospital. The car, a modified Ford Fusion, was struck by a box van running a red light in the East Allegheny area of Pittsburgh. The collision smashed in the doors on the passenger side and blew out the back window, according to local reports. A Pittsburgh city spokesperson said two of the four occupants of the vehicle were injured and transported to hospital in a stable condition before being released later on Wednesday. "We're aware that an Argo AI test vehicle was involved in an accident.

AWS IoT, Greengrass, and Machine Learning for Connected Vehicles at CES Amazon Web Services


Last week I attended a talk given by Bryan Mistele, president of Seattle-based INRIX. Bryan's talk provided a glimpse into the future of transportation, centering around four principle attributes, often abbreviated as ACES: Autonomous – Cars and trucks are gaining the ability to scan and to make sense of their environments and to navigate without human input. Connected – Vehicles of all types have the ability to take advantage of bidirectional connections (either full-time or intermittent) to other cars and to cloud-based resources. They can upload road and performance data, communicate with each other to run in packs, and take advantage of traffic and weather data. Electric – Continued development of battery and motor technology, will make electrics vehicles more convenient, cost-effective, and environmentally friendly.

CES 2018: Mobileye claims autonomous driving solution more efficient than Nvidia


Mobileye's acquisition by Intel provided it with the ability to produce a more complete autonomous driving solution than Nvidia, according to Mobileye senior VP and chief communications officer Dan Galves, because it has been able to bring both hardware and software together. CES showcases the tech trends that will shape the year ahead. See the most important products that will impact businesses and professionals. Speaking to media during CES 2018, Galves said software is the most important piece of the puzzle. Once that it written, it then needs to run on a powerful compute architecture -- and Mobileye now has both thanks to its work with the biggest chip maker in the world.

CES 2018: Artificial Intelligence at Home and Behind the Wheel Emerging Tech


Artificial intelligence dominated CES 2018 in a big way on Monday with major announcements on connected car advances and home system technologies. Google all but declared war on Amazon with its Google Assistant voice technology making its presence known at nearly every turn on the showroom floor. LG rolled out a new lineup of high-end AI OLED and Super UHD televisions infused with its ThinQ AI technology and Alpha 9 technology, combining cinema-quality home entertainment with the ability to voice control the entire home. The ThinQ technology, which integrates LG's WebOS smart TV platform with Google Assistant, will allow customers to use hundreds of voice commands to search for specific content, control various functions on the television, and control home appliances. LG introduced a total of nine new 4K AI OLED televisions, ranging from 55 to 77 inches, and seven new AI UHD televisions ranging from 55 to 75 inches.

Driverless-Car Companies Try to Rev Their Engines on Commercial Prospects WSJD - Technology

This year, the chief technical officer of Aptiv APTV 1.21% PLC wants to demonstrate how the technology might actually be deployed in real life. Aptiv, the automotive-technology company formerly known as Delphi Automotive, is partnering with ride-hailing startup Lyft Inc. at this week's show to give free rides in self-driven cars between the convention center and most of the big hotels. The goal is to show how its technology could be deployed in a self-driving car service. "This year is kind of pivoting away from technology demonstrations to really showing the applications," Mr. DeVos said. The convergence of Silicon Valley and the Motor City has helped propel CES, held here every January, into an automotive industry event that rivals the North American International Auto Show, taking place next week in Detroit.

Hyundai and Volkswagen partner with Aurora Innovation for driverless cars


In two separate partnerships announced ahead of CES 2018 in Las Vegas next week, Hyundai Motor Company and Volkswagen Group have placed their bets on self-driving technology company Aurora Innovation to further their respective autonomous vehicle visions. Aurora Innovation is the brainchild of Chris Urmson, former CTO of Google's self-driving car project; Sterling Anderson, a former program manager for Tesla's Autopilot team; and Drew Bagnell, former autonomy architect and perception lead at the Uber Advanced Technology Center. With the first announcement, Hyundai is aiming to bring self-driving vehicles to market by 2021 by incorporating Aurora's self-driving technology into Hyundai vehicles starting with models custom-developed and launched in test programs and pilot cities. Over the longer term, Hyundai and Aurora will work to commercialise self-driving vehicles worldwide. The duo will initially focus on the development of hardware and software for automated and autonomous driving and the back-end data services required for Level 4 automation -- autonomous vehicles that can operate without human input or oversight under select conditions.

Using 4D/RCS to Address AI Knowledge Integration

AI Magazine

In this article, we show how 4D/RCS incorporates and integrates multiple types of disparate knowledge representation techniques into a common, unifying architecture. The 4D/RCS architecture is based on the supposition that different knowledge representation techniques offer different advantages, and 4D/RCS is designed in such a way as to combine the strengths of all of these techniques into a common unifying architecture in order to exploit the advantages of each. In the context of applying the architecture to the control of autonomous vehicles, we describe the procedural and declarative types of knowledge that have been developed and applied and the value that each brings to achieving the ultimate goal of autonomous navigation. We also look at symbolic versus iconic knowledge representation and show how 4D/RCS accommodates both of these types of representations and uses the strengths of each to strive towards achieving human-level intelligence in autonomous systems. Neuroanatomy has described the structure and function of the basic computational element of the brain--the neuron--and produced extensive maps of the computational modules and interconnecting data flow pathways making up the anatomy of the brain. Behavioral psychology provides information about stimulus-response behavior and instrumental conditioning. Cognitive psychology is exploring how the brain represents knowledge; how it perceives objects, events, situations, and relationships; how it analyzes the past and plans for the future; and how it selects and controls behavior that satisfies desires and achieves goals Over the last five decades, the invention of the electronic computer has brought rapid advances in computational power, making it feasible to launch serious attempts at building intelligent systems. Artificial intelligence and robotics have produced significant results in planning, problem solving, rule-based reasoning, image analysis, and speech understanding. Autonomous vehicle research has produced advances in real-time sensory processing, world modeling, navigation, path planning, and obstacle avoidance. Research in industrial automation and process control has produced hierarchical control systems, distributed databases, and models for representing processes and products. Modern control theory has developed precise understanding of stability, adaptability, and controllability under various conditions of uncertainty and noise. Progress is rapid in each of the above fields, and there exists an enormous and rapidly growing body of literature in all of these areas.