A Survey on 3D Object Detection Algorithms

The proliferation of deep learning has driven remarkable advancements in 3D object detection technology, resulting in an expanding repertoire of sophisticated algorithms. This survey paper conducts a systematic taxonomy of contemporary methodologies, categorizing existing solutions into three sensor modalities: image-based approaches, LiDAR-centric methods, and multi-sensor fusion systems. The analysis concludes by prospectively examining emerging trends and potential research trajectories in this evolving domain.