2020年6月16日 星期二

To improve self-driving algorithms, add the concept of empty space

Teaching self-driving artificial intelligence about the empty space around it could improve the recognition of surrounding objects, according to researchers at Carnegie Mellon University – combining the merit of classic mapping and deep learning for 3D object detection. According to the university, when tested against a standard benchmark, the new method outperformed the previous top-performing ...

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