We have been able to successfully build a framework for testing ADAS/AD algorithms in a simulated environment while testing different algorithms. We found that the use of LiDAR is effective in object ...

Six members of Facebook AI Research (FAIR) tapped the popular Transformer neural network architecture to create end-to-end object detection AI, an approach they claim streamlines the creation of ...

The ImageNET Large Scale Visual Recognition Challenge (ILSVRC) illustrates the performance of CNN architecture. ILSVRC evaluates algorithms for object detection and image classification on a large ...

However, some tasks that are very simple for humans are quite difficult for machines. Object detection is an example. For example, shown an image containing a cat, a dog, and a duck, a human can ...

This article discusses inferencing a Microsoft Common Objects in Context (MS-COCO) detection model for detecting unattended baggage in a train station. 1. Evolution of Object Detection Algorithms ...