Abstract It is an important task to estimate a 3D bounding box from monocular images for autonomous driving. However, the pictures do not have distance information, so it difficult acquire accurate results. For sake of solving trouble low accuracy image in target detection because lacking improved three-dimensional algorithm based on GUPNet and neural network was proposed promote precision dete...

Automotive traffic scenes are complex due to the variety of possible scenarios, objects, and weather conditions that need be handled. In contrast more constrained environments, such as automated underground trains, automotive perception systems cannot tailored a narrow field specific tasks but must handle an ever-changing environment with unforeseen events. As currently no single sensor is able...

Fusion of three-dimensional data from multiple sensors gained momentum, especially in applications pertaining to surveillance, when promising results were obtained in moving object detection. Several approaches to video fusion of visual and infrared data have been proposed in recent literature. They mainly comprise of pixel based methodologies. Surveillance is a major application of video fusio...

In the field of unmanned systems, cameras and LiDAR are important sensors that provide complementary information. However, question how to effectively fuse data from two different modalities has always been a great challenge. this paper, inspired by idea deep fusion, we propose one-stage end-to-end network named FusionPillars multisensor (namely point cloud camera images). It includes three bra...

in this paper we investigate a new notion of bases in hilbert spaces and similarto fusion frame theory we introduce fusion bases theory in hilbert spaces. we also introducea new de nition of fusion dual sequence associated with a fusion basis and show that theoperators of a fusion dual sequence are continuous projections. next we de ne the fusionbiorthogonal sequence, bessel fusion basis, hilbe...