计算机科学
传感器融合
目标检测
人工智能
融合
警报
恒虚警率
计算机视觉
雷达
实时计算
模式识别(心理学)
工程类
电信
哲学
语言学
航空航天工程
作者
Shuai Yuan,Shao Yangxue,Yue Meng
标识
DOI:10.1109/wconf58270.2023.10234980
摘要
Intelligent vehicles are becoming more and more common on our roads. They can perceive the surrounding environment, communicate with other vehicles, and even make decisions based on the collected information. However, these vehicles have a long way to go before they are considered "smart". In this paper, we will discuss how multimodal fusion target detection for ICV perception becomes an important part of the future auto drive system. Multimodal fusion is a technology that combines multiple sensory modes (such as vision and radar) to improve the performance of complex target detection. Multimodal fusion is a data fusion that combines different types of sensory data to detect objects or targets in the real world environment. It has been proved that multimodal fusion can detect multiple targets at the same time with high accuracy and low false alarm rate, which is superior to single-mode target detection method.
科研通智能强力驱动
Strongly Powered by AbleSci AI