Autonomous Vehicle Navigation in Rural Environments without Detailed Prior Maps (MIT)


Source: MIT CSAIL: Teddy Ort, Liam Paul, Daniela Rus According to MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers, navigating roads less traveled in self-driving cars is a difficult task mainly because self-driving cars are usually only tested in major cities where countless hours have been spent meticulously labeling the exact 3D positions of lanes, curbs, of... » read more

System Bits: May 15


Navigating with GPS and sensors According to MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers, navigating roads less traveled in self-driving cars is a difficult task mainly because self-driving cars are usually only tested in major cities where countless hours have been spent meticulously labeling the exact 3D positions of lanes, curbs, off-ramps, and stop signs... » read more

System Bits: March 13


Wiring quantum computers According to MIT researchers, when we talk about “information technology,” we generally mean the technology part, like computers, networks, and software. But they reminded that the information itself, and its behavior in quantum systems, is a central focus for MIT’s interdisciplinary Quantum Engineering Group (QEG) as it seeks to develop quantum computing and oth... » read more

Driving By Ethernet


The race to add more sophisticated and safety-critical electronics into cars is forcing carmakers to revisit the communications systems within increasingly electrified and connected vehicles. Until very recently, communication between components within a vehicle was simplistic, and communication between vehicles was non-existent. All of that is changing quickly. Rapid and secure communicatio... » read more

The Road To Autonomy


Visions of autonomous driving were everywhere at CES 2018 in Las Vegas and the North American International Auto Show in Detroit. Still, while there is progress in the technology, it will be years before the average motorist can get a fully autonomous vehicle. Advanced driver-assistance systems are gaining in complexity and scope, representing steps toward automated driving. At CES 2018, ... » read more

Can Autonomous Cars Get Around The Corner?


With all the buzz about autonomous vehicles, one big problem still remains. People and autonomous vehicles don't get along well together. Cars are predictable. People are not. Cars behave according to a predetermined set of rules. People look for opportunities and take them, even if they're sometimes not the wisest choice, such as passing around a blind curve or driving too fast on slippery ... » read more

Blog Review: Nov. 29


ANSYS' Robert Harwood offers a reminder that autonomous and assisted driving technology are still very much works in progress, and flawed ones at that. It will take an estimated 5 billion to 10 billion road miles to effectively train self-driving algorithms. So far, Google has logged about 3.5 million miles. Along the same lines, Mentor's Paul Johnston takes a look at the electric car market... » read more

System Bits: Nov. 7


Exposing logic errors in deep neural networks In a new approach meant to brings transparency to self-driving cars and other self-taught systems, researchers at Columbia and Lehigh universities have come up with a way to automatically error-check the thousands to millions of neurons in a deep learning neural network. Their tool — DeepXplore — feeds confusing, real-world inputs into the ... » read more

Testing Autonomous Vehicles


After I wrote last month about my concerns about the pending legislation that appears to relax safety regulations for autonomous vehicles being tested on public roads, it seems I am not alone and some safety groups have also expressed concern. Of course, the promise of autonomous driving is exciting and will absolutely save lives — when the technology and infrastructure are ready — there... » read more

Frenzy At 10/7nm


The number of chipmakers rushing to 10/7nm is rising, despite a slowdown in Moore's Law scaling and the increased difficulty and cost of developing chips at the most advanced nodes. How long this trend continues remains to be seen. It's likely that 7/5nm will require new manufacturing equipment, tools, materials and transistor structures. Beyond that, there is no industry-accepted roadmap, m... » read more

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