Camera and radar sensors have significant advantages in cost, reliability, maintenance compared to LiDAR. Existing fusion methods often fuse the outputs of single modalities at result-level, called late strategy. This can benefit from using off-the-shelf sensor detection algorithms, but cannot fully exploit complementary properties sensors, thus having limited performance despite huge potential...

This paper addresses the density based multi-sensor cooperative fusion using random finite set (RFS) type multi-object densities (MODs). Existing methods use scalar weights to characterize relative information confidence among local MODs, and in this way portion of contribution each MOD fused global can be tuned via adjusting these weights. Our analysis shows that mechanism a coefficient oversi...

Salient object detection (SOD) aims at locating the most significant within a given image. In recent years, great progress has been made in applying SOD on many vision tasks. The depth map could provide additional spatial prior and boundary cues to boost performance. Combining information with image data obtained from standard visual cameras widely used works, however, introducing suboptimal fu...