Abstract: Autonomous Vehicles ... detecting small objects. This work studies and addresses this often overlooked problem by proposing Multimodal PointPillars (M-PP), a fast and effective novel fusion ...

Researchers at Korea’s Icheon National University (INU) have developed a new object detection system for autonomous vehicles using internet of things (IoT)-based deep learning for a 3D recognition ...

Collaborative perception can incorporate information from spatially diverse sensors and provide significant benefits for accurate 3D object detection from point clouds. In this work, we consider that ...

Sonar image object detection plays a crucial role in obstacle detection, target recognition, and environmental perception in autonomous underwater vehicles (AUVs ... The overall architecture of the ...

It utilizes point cloud data generated by LiDAR to help autonomous vehicles identify surrounding objects. This technology is essential for the safety and efficiency of autonomous driving. Recently, a ...

Overview This repository contains the code and documentation for our project on traffic light detection for self-driving cars using the YOLOv8 architecture ... autonomous vehicle safety. This study ...

The initial design indicated only the presence of a target object, but later versions could determine range using a simple geometrical calculation. Figure 1: Radar helps an autonomous vehicle ...