Abstract: Object detection is essential for safe autonomous driving systems. While cameras are the most commonly used modality, their performance degrades significantly under low-light or scattering ...
Abstract: We investigate batch active learning within a pool-based model for object detection in driving videos (ODDV). This paper proposes a novel diversity sampling method that uses time-of-day ...
In this article, we take a look at how the robots see the world around them, what it takes to train them for deployment, and how they might change the manufacturing landscape..
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