Lifeboat Foundation: Safeguarding Humanity
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Category: transportation

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Mercedes S Class Driverless Car Is Here 2015 Commercial Self Driving Mercedes S Class W222. As the inventor of the automobile, Mercedes-Benz natural assumes a pioneering role where autonomous driving is concerned. The declared aim is to develop the automobile further, from a self-moving (“automobile”) vehicle to an independent (“autonomous”) vehicle. In its research and development activities, Mercedes-Benz goes well beyond purely technical realisation of automated driving and anticipates various scenarios.

Semi-autonomous driving is already a fact on public roads today – for example with the Mercedes-Benz models in the S-, E-, C- and CLS-Class. One such feature is Stop-and-Go Assist, which automatically follows tailback traffic and provides steering assistance. When parking with the aid of Active Park Assist, the technology chooses a suitable parking space and takes over the steering. The driver only needs to accelerate and brake. Mercedes-Benz is continuing its “Intelligent Drive” strategy with numerous assistance systems and substantially expanded functions with the aim of systematically enhancing comfort and safety. CARJAM TV. An autonomous car, also known as a driverless car, self-driving car or robot car, is an autonomous vehicle capable of fulfilling the human transportation capabilities of a traditional car. As an autonomous vehicle, it is capable of sensing its environment and navigating without human input.

Autonomous vehicles sense their surroundings with such techniques as radar, lidar, GPS, and computer vision. Advanced control systems interpret sensory information to identify appropriate navigation paths, as well as obstacles and relevant signage.[6] Some autonomous vehicles update their maps based on sensory input, allowing the vehicles to keep track of their position even when conditions change or when they enter uncharted environments.

Some quasi-autonomous demonstration systems date back to the 1920s and the 1930s.[7] Since the 1980s, when Mercedes-Benz and Bundeswehr University Munich built a driverless car through the EUREKA Prometheus Project,[8] significant advances have been made in both technology and legislation relevant to autonomous cars. Numerous major companies and research organizations have developed working prototype autonomous vehicles, including Mercedes-Benz, General Motors, Continental Automotive Systems, Autoliv Inc., Bosch, Nissan, Toyota, Audi, Vislab from University of Parma, Oxford University and Google. In 2010, four electric autonomous vans successfully drove 8000 miles from Italy to China. The vehicles were developed in a research project backed by European Union funding, by Vislab of the University of Parma, Italy. As of 2013, four U.S. states have passed laws permitting autonomous cars.

Many major automotive manufacturers, including General Motors, Ford, Mercedes Benz, Volkswagen, Audi, Nissan, Toyota, BMW, and Volvo, are testing driverless car systems as of 2013. BMW has been testing driverless systems since around 2005,[67][68] while in 2010, Audi sent a driverless Audi TTS to the top of Pike’s Peak at close to race speeds.[10] In 2011, GM created the EN-V (short for Electric Networked Vehicle), an autonomous electric urban vehicle.[69] In 2012, Volkswagen began testing a “Temporary Auto Pilot” (TAP) system that will allow a car to drive itself at speeds of up to 80 miles per hour (130 km/h) on the highway.[70] Ford has conducted extensive research into driverless systems and vehicular communication systems.[71] In January 2013, Toyota demonstrated a partially self-driving car with numerous sensors and communication systems. The Google driverless car project maintains a test fleet of autonomous vehicles that has driven 300,000 miles (480,000 km) with no machine-caused accidents as of August 2012.

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Could this sensor technology revolutionize how auto and other navigation technology looks in the future?

The Defense Advanced Research Projects Agency (DARPA) has awarded HRL Laboratories $4.3 million to develop vibration- and shock-tolerant inertial sensor technology that enables future system accuracy needs without utilizing GPS.

While GPS provides sub-meter accuracy in optimal conditions, the signal is often lost or degraded due to natural interference or malicious jamming.

HRL Laboratories, based in Malibu, California, is a corporate research-and-development laboratory owned by The Boeing Company and General Motors specializing in research into sensors and materials, information and systems sciences, applied electromagnetics and microelectronics.

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Lov’n Quantum Espresso

Researchers use specialized software such as Quantum ESPRESSO and a variety of HPC software in conducting quantum materials research. Quantum ESPRESSO is an integrated suite of computer codes for electronic-structure calculations and materials modeling, based on density-functional theory, plane waves and pseudo potentials. Quantum ESPRESSO is coordinated by the Quantum ESPRESSO Foundation and has a growing world-wide user community in academic and industrial research. Its intensive use of dense mathematical routines makes it an ideal candidate for many-core architectures, such as the Intel Xeon Phi coprocessor.

The Intel Parallel Computing Centers at Cineca and Lawrence Berkeley National Lab (LBNL) along with the National Energy Research Scientific Computing Center (NERSC) are at the forefront in using HPC software and modifying Quantum ESPRESSO (QE) code to take advantage of Intel Xeon processors and Intel Xeon Phi coprocessors used in quantum materials research. In addition to Quantum ESPRESSO, the teams use tools such as Intel compilers, libraries, Intel VTune and OpenMP in their work. The goal is to incorporate the changes they make to Quantum ESPRESSO into the public version of the code so that scientists can gain from the modification they have made to improve code optimization and parallelization without requiring researchers to manually modify legacy code.

Figure 2: The electronic density of states calculated by Quantum ESPRESSO. This is one of the key properties that permit researchers to understand the electrical properties of the device. Courtesy of 1) A. Calzolari - National Research Council of Italy - Institute for Nanoscience (CNR-NANO), 2) R. Colle – University of Bologna (Italy), 3) C. Cavazzoni – Cineca (Italy) and 4) E. Pascolo – OGS (Italy)Electrical conductivity of a PDI-FCN2 molecule.

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Depends who is doing the creating. If a robot is created/ altered by ISIS to attack the western world then robots. At the same time, if a crazy scientist decides to genetically create Cyclops to take over the UK, US, etc. then the genetically alter species. Truly depends on the creator and the creator’s eye.

At Silicon Valley’s inaugural Comic Con, we gave a talk called “Superbabies vs. AI.” Astro, who is captain of moonshots at Alphabet’s X division, argued that genetically engineered babies are going to destroy civilization as we know it. He sees the horror of eugenics, X-Men, and a planet entirely populated by the sort of kids who beat him up in middle school, all rolled into one. Danielle, a physician-scientist and wife of said captain of moonshots, argued that the robot apocalypse is going to annihilate humanity. Super intelligent computers will eventually destroy us all, no matter what sort of Asimovian instructions we try to give them. The jury is out about who won the debate, but here are the most important issues we explored.

Will highly evolved AI break into banking systems and steal all of our money or send drones to kill us all?

It’s not likely that AI will ever resemble a human super villain. As an analogy, while airplanes and birds can both fly, they are not otherwise similar, and neither is better at all aspects of flying. Likewise, computers are already much better than humans when it comes to memory and calculations, but they can’t manage a three minute conversation with a barista at Starbucks.

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I started writing this column while I was in Manila, Philippines for a talk with UnionBank, one of the most innovative banks I’ve ever come across.

Driving across Manila is often a painful experience with far too many cars locking up all possible arterials, and nowhere near enough money to redesign and build the needed infrastructure. But this is not unique to Manila.

As I’ve traveled around the world, I’ve run into equally bad traffic in Istanbul, Rotterdam, Los Angeles, Seoul, Mexico City, San Francisco, Rome, London, Beijing, and Mumbai. In fact there are literally thousands of cities where bad traffic is a way of life.

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