3D object detection based on LiDAR point cloud and prior anchor boxes is a critical technology for autonomous driving environment perception and understanding.

At the ADAS and Autonomous Vehicle Technology Summit North America, ROVR, a leading DePIN building the foundation of Spatial ...

In comparison to methods based on stereo cameras and lidar, monocular 3D object detection offers advantages such as a broad detection field and low deployment costs. However, the accuracy of existing ...

3D object detection is a fundamental task in scene understanding. Numerous research efforts have been dedicated to better incorporate Hough voting into the 3D object detection pipeline. However, due ...

Master thesis focuses on utilizing transfer learning techniques and object detection algorithms to analyze 3D LiDAR data, aiming to enhance the accuracy and efficiency of object recognition in ...

Welcome to the 3D Object Detection for Practical Applications repository! This project focuses on developing a robust 3D object detection framework for various real-world applications. The framework ...