SA-SSD
A single-stage 3D object detector for point clouds that improves localization precision by explicitly leveraging structure information.
What is SA-SSD?
SA-SSD is a single-stage 3D object detection model that processes point cloud data to identify and localize objects like cars, pedestrians, and cyclists. It solves the problem of localization precision loss in conventional single-stage detectors by explicitly incorporating structure information through an auxiliary network, achieving high accuracy on benchmarks like KITTI.
Researchers and engineers working on 3D perception for autonomous driving, robotics, or computer vision applications that require real-time object detection from LiDAR or point cloud data.
Developers choose SA-SSD for its balance of speed and accuracy, offering state-of-the-art performance with real-time inference capabilities, and its innovative approach to preserving structural information without adding computational overhead during deployment.
Overview
SA-SSD: Structure Aware Single-stage 3D Object Detection from Point Cloud (CVPR 2020)
Use Cases
Best For
- Real-time 3D object detection in autonomous vehicle systems
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