2021
DOI: 10.48550/arxiv.2104.10037
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Efficient Online Transfer Learning for 3D Object Classification in Autonomous Driving

Abstract: Autonomous driving has achieved rapid development over the last few decades, including the machine perception as an important issue of it. Although object detection based on conventional cameras has achieved remarkable results in 2D/3D, non-visual sensors such as 3D LiDAR still have incomparable advantages in the accuracy of object position detection. However, the challenge also exists with the difficulty in properly interpreting point cloud generated by LiDAR. This paper presents a multi-modal-based online le… Show more

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