Sparse dense fusion for 3d object detection
With the prevalence of multimodal learning, camera-LiDAR fusion has gained popularity in
3D object detection. Many fusion approaches have been proposed, falling into two main …
3D object detection. Many fusion approaches have been proposed, falling into two main …
CVFNet: Real-time 3D object detection by learning cross view features
In recent years 3D object detection from LiDAR point clouds has made great progress
thanks to the development of deep learning technologies. Although voxel or point based …
thanks to the development of deep learning technologies. Although voxel or point based …
PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram
Real-time and high-performance 3D object detection plays a critical role in autonomous
driving and robotics. Recent pillar-based 3D object detectors have gained significant …
driving and robotics. Recent pillar-based 3D object detectors have gained significant …
[PDF][PDF] CVFNet: Real-time 3D object detection by learning cross view features.(2022)
J GU, Z XIANG, P ZHAO, T BAI, L WANG… - Proceedings of the … - ink.library.smu.edu.sg
In recent years 3D object detection from LiDAR point clouds has made great progress
thanks to the development of deep learning technologies. Although voxel or point based …
thanks to the development of deep learning technologies. Although voxel or point based …