4D millimeter-wave radar has emerged as a promising sensor for autonomous driving, but effective 3D object detection from both 4D radar and monocular images remains a challenge. Existing fusion ...

Abstract: The development of Internet of Things (IoT) technology in the field of intelligent vehicle, has raised requirements on the measurement effect of automotive millimeter wave (MMW) radar sensor ...

Abstract: Knowledge distillation in autonomous driving typically involves transferring information from high-cost sensor modalities such as LiDAR to camera-based models to improve 3D object detection.

BlendCLIP is a multimodal pretraining framework that bridges this synthetic-to-real gap by strategically combining the strengths of both domains. It introduces a curriculum-based data mixing strategy ...

With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...

This study offers a valuable advance for neuroscience by extending a visualization tool that enables intuitive assessment of how dendritic and synaptic currents shape the output of neurons. The ...

Clonal hematopoiesis of indeterminate potential (CHIP) is a known risk factor for coronary artery disease, though its precise role in disease progression continues to emerge. This study leverages ...