Self-driving cars need to implement efficient, effective, and accurate detection systems to provide a safe and reliable experience to its users. To this end, an international research team has now ...

Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished detection capabilities due to ...

The video demonstrates a real-time probabilistic object detection, which returns uncertainty estimates of the predictions from deep neural networks. The key technology herein is a sparse Gaussian ...

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...

Leuze has expanded its portfolio with the DCR 100i series, a compact code reader designed for reliable 1D, 2D and DPM code detection across variable working distances and high process speeds. The new ...

Self-driving cars, or autonomous vehicles, have long been earmarked as the next generation mode of transport. To enable the autonomous navigation of such vehicles in different environments, many ...