Generic object detection and tracking are fundamental and challenging tasks in computer vision. For 2D object detection, IMOU proposes an algorithm framework upon structural re-parameterization and ...

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 ...

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 ...

With a 360° field of view and up to 16 evaluation fields, Quanergy’s M1 Edge PoE LiDAR sensor offers smart awareness for object detection and alerting. The 2D sensor is capable of detecting objects at ...

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 ...

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 ...

Autonomous vehicles hold the promise of tackling traffic congestion, enhancing traffic flow through vehicle-to-vehicle communication, and revolutionizing the travel experience by offering comfortable ...