Better autonomous 'reasoning' at tricky intersections
MIT and Toyota researchers have designed a new model to help autonomous vehicles determine when it's safe to merge into traffic at intersections with obstructed views.
Nov 4, 2019
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MIT and Toyota researchers have designed a new model to help autonomous vehicles determine when it's safe to merge into traffic at intersections with obstructed views.
Nov 4, 2019
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A new MIT-developed technique enables robots to quickly identify objects hidden in a three-dimensional cloud of data, reminiscent of how some people can make sense of a densely patterned "Magic Eye" image if they observe ...
Jun 20, 2019
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(Tech Xplore)—Learning what the technology will do on your driverless car of the future is not the most daunting task to think about. The really difficult question is the what-if in any scenario where the car would need ...
Most artificially intelligent systems are based on neural networks, algorithms inspired by biological neurons found in the brain. These networks can consist of multiple layers, with inputs coming in one side and outputs going ...
Sep 15, 2023
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Researchers at The Ohio State University have developed new software to aid in the development, evaluation and demonstration of safer autonomous, or driverless, vehicles.
Jul 6, 2023
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Engineers have created intelligent 3D printers that can quickly detect and correct errors, even in previously unseen designs, or unfamiliar materials like ketchup and mayonnaise, by learning from the experiences of other ...
Aug 16, 2022
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A simulation system invented at MIT to train driverless cars creates a photorealistic world with infinite steering possibilities, helping the cars learn to navigate a host of worse-case scenarios before cruising down real ...
Mar 24, 2020
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With aims of bringing more human-like reasoning to autonomous vehicles, MIT researchers have created a system that uses only simple maps and visual data to enable driverless cars to navigate routes in new, complex environments.
May 23, 2019
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Combining human and artificial intelligence in autonomous vehicles could push driverless cars more quickly toward wide-scale adoption, University of Michigan researchers say.
Feb 8, 2019
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A novel model developed by MIT and Microsoft researchers identifies instances in which autonomous systems have "learned" from training examples that don't match what's actually happening in the real world. Engineers could ...
Jan 25, 2019
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