Multi-Modal 3D Object Detection in Autonomous Driving: A Survey

Autor:	Yingjie Wang, Qiuyu Mao, Hanqi Zhu, Jiajun Deng, Yu Zhang, Jianmin Ji, Houqiang Li, Yanyong Zhang
Rok vydání:	2023
Předmět:	FOS: Computer and information sciences Artificial Intelligence Computer Vision and Pattern Recognition (cs.CV) Computer Science - Computer Vision and Pattern Recognition Computer Vision and Pattern Recognition Software
Zdroj:	International Journal of Computer Vision.
ISSN:	1573-1405 0920-5691
Popis:	In this survey, we first introduce the background of popular sensors used for self-driving, their data properties, and the corresponding object detection algorithms. Next, we discuss existing datasets that can be used for evaluating multi-modal 3D object detection algorithms. Then we present a review of multi-modal fusion based 3D detection networks, taking a close look at their fusion stage, fusion input and fusion granularity, and how these design choices evolve with time and technology. After the review, we discuss open challenges as well as possible solutions. We hope that this survey can help researchers to get familiar with the field and embark on investigations in the area of multi-modal 3D object detection. Accepted by International Journal of Computer Vision (IJCV)
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab618ed4757bec699c9e720a2f19afbe https://doi.org/10.1007/s11263-023-01784-z Zobrazit plný text záznamu Full text from SpringerLink