These systems depend heavily on data annotation to train AI/ML models that enable real-time perception and decision-making. Raw data is collected from a suite of sensors, including LiDAR, radar, ...

Yao, Y., Cheng, G., Wang, G., Li, S., Zhou, P., Xie, X., et al. (2023) On Improving Bounding Box Representations for Oriented Object Detection. IEEE Transactions on ...

Q3 Energie showcased a new string combiner box at Intersolar Europe 2025. The generator junction box can detect and isolate faults in photovoltaic systems.

Bounding Box Regression (BBR) plays a critical role in object detection by refining the predicted location and size of objects to enhance model accuracy. This process involves adjusting the ...

Sonar image object detection plays a crucial role in obstacle detection, target recognition, and environmental perception in autonomous underwater vehicles (AUVs). However, the complex underwater ...

RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow and released under the Apache 2.0 license. RF-DETR is the first real-time model to exceed 60 AP on ...

Furthermore, we develop a cylindrical denoising assist (CDA) module to reduce noise interference, improving the accuracy of 3D bounding box predictions. Experiments on the VoD and TJ4DRadSet datasets ...

Subsequently, based on these feature maps, 2D detection, 3D detection, and spatial constraint detection between adjacent targets are performed. The 2D detection head predicts the target’s 2D center ...