2022 Latest Review: Detailed Explanation of Multi-Modal Fusion Perception Algorithms in Autonomous Driving

2022 Latest Review: Detailed Explanation of Multi-Modal Fusion Perception Algorithms in Autonomous Driving

About 4300 words, recommended reading time 5 minutes. This article classifies the field into two major categories and four subcategories based on the fusion stage, and also analyzes the existing problems in the current field, providing references for future research directions. 1 Introduction Multi-modal sensor fusion means complementary, stable, and safe information, and has long … Read more

Summary of Multimodal 3D Object Detection Development Methods

Summary of Multimodal 3D Object Detection Development Methods

Source丨Heart of Autonomous Driving Editor丨Deep Blue Academy What is Multimodal 3D Object Detection? Multimodal 3D object detection is one of the current research hotspots in 3D object detection, mainly referring to the use of cross-modal data to improve the detection accuracy of the model. Generally speaking, multimodal data includes: image data, LiDAR data, millimeter-wave radar … Read more