Back to self-driving school: The simulator teaching vehicle AIs road sense

Synthia uses convolutional neural networks and deep learning to improve the way vehicle AIs handle what’s happening around them. Image: Computer Vision Center/Autonomous University of Barcelona It’s no longer a question of whether self-driving cars will make it into the mainstream but when, according to vehicle-systems expert Antonio López. Despite his optimism, a number of challenges still remain before driverless cars come anywhere close to displacing human drivers. One of them is teaching vehicles how to recognize obstacles and situations, so they can figure out how to react. It’s precisely to tackle that issue that Synthia has been developed by the Autonomous University of Barcelona’s Computer Vision Center, where López is head of advanced driver assistance systems. Synthia is a simulator that uses convolutional neural networks and deep learning to…


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