自动驾驶感知范式-多模态融合(Multi-Modal Fusion)综述 1,MmWave Radar and Vision Fusion for Object Detection in Autonomous Driving: A Review 随着自动驾驶的蓬勃发展,复杂场景下的精确目标检测受到广泛关注,以确保自动驾驶的安全。毫米波(mmWave)雷达和视觉融合是精确障碍物检测的主流解决方案。本文详细介绍了基于毫...
3. Conclusion 其实实验部分也可以看看 以carla leaderboard提出的指标来对比的,值得一提的是做了ablation study 消融实验(俗称控制变量法)来证明multi-scale fusion、attention layers、positional embedding都是必要的 结论部分主要是 总结一下:我证明了现有的传感器融合方法来的模仿学习存在比较高的违规率(撞人 闯红灯啥...
其实实验部分也可以看看 以carla leaderboard提出的指标来对比的,值得一提的是做了ablation study 消融实验(俗称控制变量法)来证明multi-scale fusion、attention layers、positional embedding都是必要的结论部分主要是 总结一下:我证明了现有的传感器融合方法来的模仿学习存在比较高的违规率(撞人 闯红灯啥的),我们提出了...
Title 以前没接触过自动驾驶方面的文章,最近在看transformer的文章所以扫一眼,这里简单记录下该方法的思路,实验部分就不多说了。 该文章解决的任务是自动驾驶中的状态预测问题,举个直观的例子,一辆无人车在时刻t获得了当前时刻的场景信息(可以是图像、雷达等不同介质),然后根据这些信息做出一定的动作,比如左转、右转...
Multi-modal fusion engineAn embodiment provides a method, including: detecting, at an electronic device, a command input using a first modality; detecting, at the electronic device, a selecting input using a different modality; combining, using a processor, the command input and the selecting ...
Multi-modal fusion is a fundamental task for the perception of an autonomous driving system, which has recently intrigued many researchers. However, achieving a rather good performance is not an easy task due to the noisy raw data, underutilized information, and the misalignment of multi-modal se...
Cross-modal interaction and multi-source visual fusion for video generation in fetal cardiac screening A frame interpolation is used to synthesis videos via inter-frame pixel movement.A synchronizer is developed to regulate videos with actual cardiac rhythm ... G Zhu,E Deng,Z Qin,... - 《Infor...
摘要: Explored multi-modal fusion in tourism and its significance.Presented insights and statistics of tourism datasets.Analyzed multi-modal feature fusion and deep learning models.Discussed the fusion method in Federated Learning, including challenges, and future directions....
Multi-modal learning from video data has seen increased attention recently as it allows training of semantically meaningful embeddings without human annotation, enabling tasks like zero-shot retrieval and action localization. In this work, we present a multi-modal, modality agnostic fusion transfo...
Therefore, the multi-modal medical image fusion technology has been developing for a long time. In multi-modal medical image fusion, how to obtain useful information from multi-modal medical images and how to select the appropriate fusion method are still main issues. In general, there are two...