SAANet: Spatial adaptive alignment network for object detection in automatic driving

作者：

Highlights：

• A deep fusion network architecture for complementary 3D object detection

• An SAA module to adaptively align the point cloud feature and image feature

• A local orientation encoding introduced to the representation of a point cloud

摘要

•A deep fusion network architecture for complementary 3D object detection•An SAA module to adaptively align the point cloud feature and image feature•A local orientation encoding introduced to the representation of a point cloud

论文关键词：Object detection,Fusion-based deep framework,Local orientation encoding,Spatial adaptive alignment,Autonomous driving

论文评审过程：Received 27 October 2019, Revised 18 December 2019, Accepted 29 December 2019, Available online 7 January 2020, Version of Record 16 January 2020.

论文官网地址：https://doi.org/10.1016/j.imavis.2020.103873