Research advanced in object detection of autonomous driving based on deep learning

Yue Feng; Tianyi Wang; Zehong Zhou

doi:10.1117/12.2641879

10 November 2022 Research advanced in object detection of autonomous driving based on deep learning

Yue Feng, Tianyi Wang, Zehong Zhou

Proceedings Volume 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022); 1234818 (2022) https://doi.org/10.1117/12.2641879
Event: 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 2022, Zhuhai, China

Abstract

Object detection has always been one of the hot tasks in the computer vision community, whose goal is to accurately and efficiently identify and locate a large number of predefined categories of object instances from the image. With the widespread application of deep learning, the accuracy and efficiency of object detection have been greatly improved, and thousands of methods have be proposed to improve the detection accuracy and speed. In this paper, we first introduce and analyze the representative methods from the 2D object detection to 3D object detection, and then give an exhaustive introduction to common datasets and conduct a comparative performance analysis of the core ideas of different algorithms. Also, we summarize the existing problems in the detection research field and predict the solutions to these problems in the future.

Citation Download Citation

Yue Feng, Tianyi Wang, and Zehong Zhou "Research advanced in object detection of autonomous driving based on deep learning", Proc. SPIE 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 1234818 (10 November 2022); https://doi.org/10.1117/12.2641879

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KEYWORDS

Detection and tracking algorithms

Clouds

Sensors

3D image processing

Convolution

Image processing

Algorithm development

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