Based 3D

Image-based 3D object detection aims to accurately locate and classify objects in three-dimensional space using only image data, a crucial task for autonomous driving and robotics. Current research emphasizes improving accuracy and efficiency through novel architectures like transformer-based detectors and multi-scale feature fusion techniques, often incorporating data from multiple cameras or leveraging techniques like pseudo-labeling and cross-modal distillation to address data limitations. These advancements are driving progress towards more robust and reliable perception systems, with significant implications for the safety and performance of autonomous vehicles and other applications requiring real-time 3D scene understanding.