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MIT Task Force on the Work of the Future suggests widespread autonomous driving at least a decade away

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The MIT Task Force on the Work of the Future has released a new research brief examining the future of autonomous vehicles. Automated driving technologies have promised to disrupt urban mobility for a long time. The brief considers the current state of automated driving technology and its potential impact on jobs.

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MIT team develops new lane-change algorithm for autonomous cars

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Most existing lane-change algorithms for autonomous cars have one of two drawbacks: Either they rely on detailed statistical models of the driving environment, which are difficult to assemble and too complex to analyze on the fly; or they’re so simple that they can lead to impractically conservative decisions, such as never changing lanes at all.

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MIT engineers develop system to help autonomous vehicles see around corners; adapting ShadowCam

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To improve the safety of autonomous systems, MIT engineers have developed a system that can sense tiny changes in shadows on the ground to determine if there’s a moving object coming around the corner. ShadowCam computes that information and classifies each image as containing a stationary object or a dynamic, moving one.

MIT 150
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Autoliv and MIT AgeLab to collaborate in the research of autonomous vehicle systems

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This includes sensing driver gaze, emotion, cognitive load, drowsiness, hand position, posture, and fusing this information with the perception of the driving environment to create safe, reliable vehicles that drivers can learn to trust. —Bryan Reimer, MIT.

MIT 150
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Ford kicks off new automated driving research projects with MIT and Stanford University

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Building on the capabilities of the automated Ford Fusion Hybrid research vehicle unveiled last month ( earlier post ), Ford is working with the Massachusetts Institute of Technology (MIT) and Stanford University to research and to develop solutions to some of the technical challenges surrounding automated driving. —Greg Stevens.

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Daimler joining MIT CSAIL Alliance Program for AI work; cognitive vehicles

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Daimler is becoming a new member of the MIT CSAIL Alliance Program. MIT’s Computer Science and Artificial Intelligence Laboratory ( CSAIL ) is the largest research laboratory at MIT and one of the world’s most important centers of information technology research. The new cooperation with the MIT ideally complements this.

MIT 150
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Toyota to invest ~$50M to establish joint research centers at MIT and Stanford; intelligent vehicle and mobility technologies

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Toyota Motor Corporation (TMC) will be investing approximately $50 million over the next 5 years to establish joint research centers at Stanford and MIT, focused on the research and development of intelligent vehicle and mobility technologies.

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